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Plumbing Engineer

The LiRo Group

full-timefull time

Posted Sep 7, 2026

$115,000 - $135,000

New York, NY, US

Description

Plumbing Engineer US-NY-New York Job ID: 2026-3344 # of Openings: 1 Category: MEP The LiRo Group Overview We have an immediate need for a Plumbing Engineer for our New York City location. Come join our team! We are looking to build services and capabilities through the growth of our key asset- our staff. Ranked among the nation's top A/E firms by Engineering News-Record, LiRo-Hill provides construction management, engineering, environmental, architectural, and program management solutions. You can become part of an organization that has a strong track record and is looking to strengthen relationships and capabilities to be a trusted resource for our clients in the public and private sector. We are proud to be known as an “Integrated Construction, Design and Technology Solutions” firm and we have delivered on that label time and again. Recently, Global Infrastructure Solutions Inc. (GISI), the parent company of The LiRo Group and Hill International, Inc. consolidated a portion of the highly experienced staff of both LiRo and Hill in the Northeast to create a larger, more efficient, and cost-effective team to serve clients. LiRo-Hill is a 1100-person firm with offices in NYC, Long Island, Buffalo, Rochester, Boston and Edison, NJ. Responsibilities <ul><li>Lead plumbing engineer responsible for design and preparation of construction documents, drawings, specifications, calculations, etc.</li><li>Conduct site visits, inspections, field surveys to support design and construction phases.</li><li>Ensure designs comply with applicable codes and standards.</li><li>Coordinate with multidisciplinary teams including architectural, mechanical, plumbing, and other team members.</li><li>Provide construction administration support.</li><li>Use engineering and design computer software to complete assigned work (i.e. Autodesk Revit MEP & AutoCAD)</li></ul> Qualifications <ul><li>Preferred Bachelor of Science Degree in Mechanical Engineering.</li><li>6+ years of relevant mechanical design or construction experience.</li><li>Strong communication and organizational skills</li><li>Working knowledge of relevant codes and standards (e.g., NYC Building Codes, ASHRAE).</li><li>Proficiency in AutoCAD, Revit, and mechanical design software.</li><li>PE is strongly preferred.</li></ul>Preferred Skills:<ul><li>Ability to work independently and take lead on projects.</li><li>Strong communication and organizational skills.</li><li>Self-motivated with the ability to multitask to meet specific project deadlines.</li></ul><ul><li> </li></ul> We are committed to your success, and we invest in your growth and development to unlock your full potential.<ul><li>Competitive Total Compensation Package</li><li>Employee- Only Stock Purchase Plan</li><li>Mentoring programs</li><li>Continuing Education Program</li><li>Employee referral bonus</li><li>Volunteer/Industry association opportunities</li></ul> Our Culture:We believe in the power of collaboration. We work hard to build a corporate culture that empowers all our employees to freely share their ideas, know their presence, and contributions are truly valued, fostering a climate where our employees are enabled to maximize their full potential. -We offer a comprehensive benefits package and a positive work environment-Compensation: Min: $115,000,000; Max: $135,000. The range provided is the salary that the Firm in good faith believes at the time of this posting is willing to pay for the advertised position. Exact compensation will be determined on the individual candidates’ qualifications and location.-The selected candidate must be authorized to work in the United States; Visa sponsorship is not available for this role. LiRo-Hill is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to age, race, color, creed, religion, national origin, ancestry, marital status, sex, affectional or sexual orientation, gender identity or expression, or protected veteran status; and will not be discriminated against on the basis of disability. #ID22#ZR22 Compensation details: 115000-135000 Yearly Salary PI3e6dbba04fc4-37961-40603380

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VDC Engineer

The LiRo Group

full-timefull time

Posted Sep 7, 2026

$80,000 - $120,000

New York, NY, US

Description

VDC Engineer US-NY-New York Job ID: 2026-3262 # of Openings: 2 Category: Information Technology The LiRo Group Overview We have an immediate need for a VDC Engineer for our New York City Office in lower Manhattan. LiRo-Hill Virtual Design & Construction Operations (VDCO) is a multidisciplinary practice seamlessly integrating technology and innovation for the built environment. Our team has a long history of delivering complex, ambitious projects utilizing the latest technology. The team consists of full-time staff with backgrounds and focuses ranging from Architecture, Engineering, Construction Management and Operations. We implement BIM, Reality Capture, 3D coordination, Project Controls, Data Analytics, BIM Implementation Consulting, and much more. Come join our team! We are looking to build services and capabilities through the growth of our key asset - our staff. Ranked among the nation's top A/E firms by Engineering News-Record, LiRo-Hill provides construction management, engineering, environmental, architectural, and program management solutions. You can become part of an organization that has a strong track record and is looking to strengthen relationships and capabilities to be a trusted resource for our clients in the public and private sector. We are proud to be known as an “Integrated Construction, Design and Technology Solutions” firm and we have delivered on that label time and again. Recently, Global Infrastructure Solutions Inc. (GISI), the parent company of The LiRo Group and Hill International, Inc. consolidated a portion of the highly experienced staff of both LiRo and Hill in the Northeast to create a larger, more efficient, and cost-effective team to serve clients. LiRo-Hill is a 1100-person firm with offices in NYC, Long Island, Buffalo, Rochester, Boston and Metro Park, NJ. Responsibilities We are seeking an experienced VDC Engineer to join our team. The ideal candidate will have strong technical expertise in building information modeling across multiple disciplines and software platforms, with a focus on delivering high-quality 3D models for complex infrastructure and building projects. Responsibilities:<ul><li>Develop detailed 3D BIM models for architectural, structural, MEP, and utility/site infrastructure</li><li>Oversee project model setup and management throughout the project lifecycle. Apply advanced knowledge to setup projects to support linked files, coordinate systems and multi-phase workflows.</li><li>Apply industry standards, BIM execution strategies, and best practices appropriate to diverse project types and client requirements. Should be able to read and understand contract documents, design documents, project reports, scopes of work to successfully manage project deliverables.</li><li>Maintain model accuracy, consistency, and adherence to project standards and protocols</li><li>Perform Clash Detection and Conduct 3D trade coordination meetings and support management of trade contractor drafters</li><li>Lead QA/QC processes and manage BIM deliverables using point clouds, contract drawings, shop drawings, and as-builts as references</li><li>Support reality capture services (LiDAR, SLAM, etc.) Assist in Scan-to-BIM workflows including LiDAR scanning and point cloud processing.</li><li>Produce Renderings, Visualizations and 4D Simulations as needed</li><li>Support site visits and field verification as needed</li><li>Troubleshoot BIM software and platform issues and stay current with emerging tools and technologies.</li></ul> Qualifications Required Qualifications:<ul><li>Bachelor’s degree or higher in Architecture, Engineering, Civil Engineering, Construction Management, or an AEC-related discipline.</li><li>Min. 5 years of hands-on experience working as a BIM/VDC Professional.</li><li>Excellent verbal and written communication/presentation skills, with the ability to express ideas clearly and professionally to both technical and non-technical audiences.</li><li>Ability to read, understand, and interpret contract drawings, specifications, scopes of work, and project schedules.</li><li>Proficiency in Autodesk products such as Revit, AutoCAD, Civil 3D, Navisworks, and ACC Model Coordination.</li><li>Knowledge of Bentley Microstation, Projectwise and/or OpenBuildings is a plus.</li><li>Strong Revit Modeling experience is required.</li></ul>Preferred Qualifications:<ul><li>Experience working with Public Sector clients / projects is highly preferred.</li><li>Experience working on Infrastructure projects is a major advantage.</li><li>Knowledge of Bentley OpenBuildings, OpenRoads, and MicroStation is a plus.</li><li>Experience with software development using Revit APIs, Python, and Dynamo is a plus.</li><li>Knowledge of construction methods and processes.</li><li>Experience performing and utilizing 3D laser scans on projects.</li><li> </li></ul>Additional Information:<ul><li>Valid Driver's License, ability to drive to job sites.</li><li>This position requires often driving to, working from client/field offices in and around NYC areas.</li><li>The candidate must be authorized to work in the USA. </li><li>Visa Sponsorship is not available.</li></ul> Our Culture:We believe in the power of collaboration. We work hard to build a corporate culture that empowers all our employees to freely share their ideas, know their presence, and contributions are truly valued, fostering a climate where our employees are enabled to maximize their full potential. -We offer a comprehensive benefits package and a positive work environment-Compensation: Minimum: $80,000: Maximum: $120,000. The range provided is the salary that the Firm in good faith believes at the time of this posting is willing to pay for the advertised position. Exact compensation will be determined on the individual candidates’ qualifications and location. LiRo-Hill is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to age, race, color, creed, religion, national origin, ancestry, marital status, sex, affectional or sexual orientation, gender identity or expression, or protected veteran status; and will not be discriminated against on the basis of disability. #ID22#ZR22 Compensation details: 80000-120000 Yearly Salary PI46ee2a7597dc-37961-39640199

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Remote Mechanical Engineer

Micro1

full-timefull timeRemote

Posted Sep 7, 2026

New York County, NY, US

Description

Mechanical Engineer Required Skills mechanical engineering technical document analysis problem-solving written and verbal communication data analysis attention to detail self-management interdisciplinary collaboration technical content creation data quality assurance About micro1 micro1 is the leading AI data lab for training frontier models and evaluating AI agents. Experts contribute their diverse subject matter knowledge across domains such as finance, healthcare, STEM engineering, and more. micro1 transforms that real-world expertise into high-quality training data, evaluations, and feedback loops that improve how AI systems learn, reason, and perform. Our platform identifies and vets top talent through an AI recruiter, enabling high-quality expert contributions at scale. We aim to enable 1 billion people to do meaningful work by applying their expertise to AI. As our global expert network grows, micro1 is building the human intelligence layer for frontier AI. Job Title: Mechanical Engineer Job Type: Contractor Location: Remote Rate: 20$-50$ per task Job Summary: In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters. Key Responsibilities: • Analyze technical documents and extract key information relevant to your domain expertise • Generate, review, and refine questions and solutions based on real-world mechanical engineering scenarios • Collaborate with multidisciplinary teams to ensure accuracy and depth of data and analysis • Provide detailed written and verbal feedback on document clarity, technical accuracy, and effectiveness • Apply advanced subject matter knowledge to evaluate and solve complex engineering problems • Work independently, managing your time to deliver high-quality outputs with minimal supervision • Contribute to the continuous improvement of data quality and project processes Required Skills and Qualifications: • 2-6 years of professional or academic experience in mechanical engineering or a closely related field (lab, workplace, or academia) • Strong reading comprehension skills, with proven ability to analyze and interpret technical documents • Exceptional English communication skills, both written and verbal • Demonstrated experience in creating or evaluating technical content, such as reports, studies, or problem sets • Ability to work independently and efficiently, with excellent self-management • High attention to detail and commitment to data accuracy • Experience interfacing with technical documentation and performing analytical tasks Preferred Qualifications: • Advanced degree (Master’s or PhD) in Mechanical Engineering, Chemistry, Physics, or Biology • Previous experience contributing to interdisciplinary or research-driven projects • Familiarity with data-driven analysis or training data preparation

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Lead AI Engineer

MassMutual

Full Timefull time

Posted Sep 7, 2026

NEW YORK, NY, US

Description

The OpportunityMassMutual’s AI & Data Science team is seeking an impact-driven Lead AI Engineer to join our high-performing, cross-functional team. In this role, you will lead the design, deployment, and production scaling of advanced AI solutions that solve complex, high-value problems across the enterprise. You’ll architect and deliver generative AI, agentic AI, and LLM-based systems by applying rigorous scientific methods, writing high-quality production code, and communicating results to senior leadership.The TeamThis is a unique opportunity to work alongside experts in applied AI, statistics, and computer science. The team operates at the intersection of cutting-edge research and enterprise delivery, building AI solutions that shape the future of MassMutual and the life insurance industry at large. We partner closely with technology and business stakeholders across the organization, and we invest in growth through a culture of peer learning, candid feedback, and shared technical standards. This team is defined by a shared commitment to scientific and engineering excellence, meaningful work, and the kind of collaboration that makes challenging problems tractable.The Impact<ul><li>Architect, build, and lead end-to-end AI solutions supporting a range of enterprise use cases—from ideation through production deployment and monitoring—using LLMs, agentic AI, machine learning, and probabilistic modeling, with accountability for reliability, performance, and maintainability.</li><li>Design and conduct rigorous evaluations of AI system performance, including experimentation, benchmarking across foundation models, and quantitative analysis, to validate approaches and inform technical decisions.</li><li>Drive innovation by identifying emerging technologies, translating cutting-edge research into practical applications, and establishing team-wide best practices in AI development and responsible AI deployment.</li><li>Build rapid prototypes to test and validate AI approaches and deliver production-grade AI-powered applications (e.g., intelligent interfaces, dashboards, automated workflows) when solutions prove viable.</li><li>Collaborate with engineering teams to build robust, production-grade AI pipelines and APIs that integrate into the broader enterprise technology ecosystem.</li><li>Influence senior leadership by aligning AI initiatives with enterprise strategy and communicating complex technical concepts and findings in clear, actionable terms.</li><li>Mentor and develop junior talent, fostering a culture of technical excellence, scientific rigor, and continuous learning across the team.</li></ul>The Minimum Qualifications<ul><li>7+ years of experience in data science, machine learning, or AI engineering, with a track record of delivering impactful AI/ML solutions at scale.</li><li>Deep expertise in machine learning, statistics, NLP, and LLMs, including generative AI, agentic architectures, prompt engineering, and LLM evaluation across a variety of foundation models and benchmarks.</li><li>Demonstrated ability to build, deploy, and scale production AI systems from architecture planning through orchestration, monitoring, and end-user delivery.</li><li>Strong programming skills in Python, with the ability to write clean, well-tested, production-quality code, including familiarity with Docker, Kubernetes, and other orchestration and deployment frameworks.</li><li>M.S. or Ph.D. in Computer Science, Statistics, Applied Mathematics, Electrical Engineering, Physics, or a related quantitative field, or equivalent years of relevant professional experience.</li></ul>The Ideal Qualifications<ul><li>Familiarity with agentic AI tooling ecosystems, such as Bedrock AgentCore, AWS Strands, Azure, and MCP/A2A protocols.</li><li>Experience developing and evaluating AI systems in a regulated industry, with a strong understanding of compliance and privacy standards.</li><li>Breadth across AI and data science methods—including classical ML, causal inference, optimization, and Bayesian approaches—with comfort moving across techniques as problems demand.</li><li>Proficiency in SQL and database design; familiarity with cloud-native data platforms, vector databases, and semantic search.</li><li>Exceptional ability to translate complex AI concepts and quantitative findings into clear insights for non-technical stakeholders and senior leadership.</li><li>Exceptional research credentials, such as published work, significant open-source contributions, or a strong record of scientific rigor applied in industry.</li></ul>What to Expect as Part of MassMutual and the Team<ul><li>Regular meetings with the AI & Data Science team</li><li>Focused one-on-one meetings with your manager</li><li>Networking opportunities including access to Asian, Hispanic/Latinx, African American, women, LGBTQIA+, veteran and disability-focused Business Resource Groups</li><li>Access to learning content on Degreed and other informational platforms</li><li>Your ethics and integrity will be valued by a company with a strong and stable ethical business with industry leading pay and benefits</li></ul><div>#LI-MC1</div>MassMutual is an equal employment opportunity employer. We welcome all persons to apply. If you need an accommodation to complete the application process, please contact us and share the specifics of the assistance you need. California residents: For detailed information about your rights under the California Consumer Privacy Act (CCPA), please visit our California Consumer Privacy Act Disclosures page.

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Senior Frontend Engineer — Athena Engine (Serverless)

Amazon

full-timefull time

Posted Sep 7, 2026

New York, NY, US

Senior Software Engineer

Maximor AI

full-timefull time

Posted Sep 7, 2026

New York, NY, US

Description

<div>Most AI companies are building copilots. Maximor is building the AI operating system for the CFO office. Our Audit-Ready AI Agents connect to a company's existing finance stack—ERPs, banks, billing, payroll, CRM, contracts, spreadsheets, email, and Slack—and automate the work behind the entire order to cash process, record to report process, treasury management, financial reporting and and audit readiness. The goal isn't to help the finance team write better prompts . The goal is for finance teams to review exceptions while AI does the rest. What makes Maximor different is our Unified Finance Context—a financial understanding layer that captures transactions, policies, contracts, historical decisions, and accounting judgment. On top of it sit Audit-Ready AI Agents that can reason, explain their decisions, elevate uncertainty, and continuously improve. We've raised $9M led by Foundation Capital, alongside BoldCap, Gaia Ventures, Aravind Srinivas (CEO of Perplexity), and finance leaders from Zuora, Ramp, Gusto, MongoDB, Zoom, and the Big Four. <h3>What You'll Own</h3> You won't own tickets—you'll own a piece of the future accounting stack.Every senior engineer owns a finance domain (revenue, cash, close, reporting, payroll, fixed assets, tax, or controls) and ships it end-to-end with a pod of 2–3 engineers. No PM writes your specs. No architecture committee approves your ideas. You work directly with controllers, accountants, and CFOs to understand the problem, then build the system that replaces the manual process. <h3>Problems Worth Your Brain</h3> <ul> <li>How do you build AI agents that finance teams and auditors can trust? Verification, guardrails, observability, and evaluation systems for non-deterministic AI.</li> <li>How do you give an agent the right financial context? Context engineering over transactions, ledgers, contracts, policies, and historical decisions—without bloat, drift, or data leakage.</li> <li>How do you turn messy enterprise systems into a unified source of truth? Ingest, normalize, and reconcile data from ERPs, banks, payroll, billing platforms, CRMs, and email.</li> <li>How do you orchestrate durable AI workflows in the real world? Long-running, replay-safe workflows across flaky, stateful enterprise systems</li> <li>How do you safely write back to systems of record? Idempotent, audit-ready updates to ERPs and financial systems with full traceability.</li> </ul> <h3>A Few Strong Opinions</h3> <ul> <li>The engineer who can’t operate AI agents fluently is becoming obsolete, fast. Fluency with Claude, Cursor, and internal agent tooling is a second cortex.</li> <li>“Backend vs. frontend” is dissolving. The agents do the typing. The constraint is product judgment, system design, and the ability to close the loop from problem to shipped feature. Our engineers ship full-stack when the work calls for it.</li> <li>The pod is the unit of leverage. Two engineers who can hold an entire module in their heads ship more than ten engineers who each own a slice. Specialization across pods, generalist within them. Our engineers raise the ceiling for every pod.</li> <li>The accountant + engineer loop is the moat. Engineers who sit with controllers and build from what they see compound faster than the ones who don’t.</li> </ul> <h3>What Great Looks Like Here</h3> <ul> <li>You can learn a finance workflow in the morning and ship it by the end of the day. The ability to quickly understand a domain and translate it into software is the single most important skill on the team.</li> <li>You think like an owner. You're a current or future founder who scopes your own work, thinks from the customer's perspective, owns decisions, and drives outcomes without waiting for direction.</li> <li>You solve problems end to end. The team is split vertically, so every engineer owns a part of the product and makes decisions across the LLM pipeline, infrastructure, backend, and UX.</li> <li>You care about getting it right. A 100% solution beats an 80% one. When something breaks, you go to root cause.</li> <li>You operate AI coding agents at a high level. You have opinions about which agent to use for which task. You’ve shipped real production code through them.</li> </ul> <h3>What You Should Have Done Before</h3> <ul> <li>5+ years of software engineering, mostly backend or infrastructure.</li> <li>Strong backend chops in a modern language — Python, Go, Java, Rust, or similar. Our stack is Python; if your deep experience is elsewhere, ramp fast.</li> <li>Built hard backend systems — distributed pipelines, transactional or ledger systems, integration platforms, or workflow engines.</li> <li>Worked at an early-stage startup (pre-seed through Series B).</li> </ul> <h3>You’ll Stand Out if</h3> <ul> <li>You've worked in fintech, ERP, accounting, payments, banking, treasury, audit, or compliance software.</li> <li>You've built production AI agents, not just demos.</li> <li>You've built evaluation frameworks, verification systems, or observability platforms for AI.</li> <li>You've worked with data warehouses, financial systems, or enterprise integrations.</li> <li>You've been the engineer customers asked for by name.</li> </ul> <h3>The Upside</h3> <ul> <li>Exceptional teammates with high ownership and direct access to customers, CFOs, controllers, and founders.</li> <li>Top-of-market compensation and meaningful early-stage equity.</li> <li>Full medical, dental, and vision coverage for employees and dependents, plus</li> <li>401(k) match.Meals, a stocked NYC office, and the chance to help define an entirely new category: Audit-Ready AI for Finance.</li> </ul></div> #J-18808-Ljbffr

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Senior Software Engineer

HireArt

full-timefull time

Posted Sep 7, 2026

New York, NY, US

Description

<div>Expected compensation: 175,000.00 - 200,000.00 USD Per Year HireArt is a modern staffing platform for companies to source, employ, and manage contract workers. Our goal is to bring a turnkey, full-stack software and service experience to an industry that is dominated by manual, cumbersome processes. We’re a ~75-person company with an experienced engineering team and a product that serves real customers every day. Our typical customers are fast growing tech companies, such as those building autonomous vehicles and LLMs. We’re hiring a Senior Software Engineer to join our Feature Team as we scale delivery capacity across our core platform. This role is for an experienced senior engineer; someone who can learn business context, collaborate with the product team, own a feature end-to-end, and raise the effectiveness of their team. <h3>About The Role</h3> You’ll work on HireArt’s core staffing application - a large, modular Rails codebase with real production constraints. Work typically arrives as loosely defined problem statements. Senior engineers help bring context to those problems, shape solutions, clarify tradeoffs, and deliver changes that are easy for the next engineer to build on. You’ll sometimes lead initiatives, sometimes follow another senior engineer’s direction, and always be expected to communicate clearly, push back thoughtfully, and keep delivery moving. <h3>What You'll Do</h3> <ul> <li>Own large product features end-to-end, from shaping the approach through delivery</li> <li>Break down ambiguous problems into clear technical changes</li> <li>Work closely with product partners to clarify requirements and push back on scope</li> <li>Communicate clearly and often with teammates and manager regarding expectations for delivery</li> <li>Review code with an eye toward maintainability, not just correctness</li> <li>Write and maintain automated tests as a first-class responsibility</li> <li>Improve legacy areas of the codebase incrementally and pragmatically</li> <li>Use AI tools (Copilot, Claude, etc.) to increase throughput while remaining fully accountable for the code you ship</li> </ul> <h3>Our Tech Stack</h3> <ul> <li>Backend: Ruby on Rails 8.1</li> <li>Frontend: React 18.3 (with some Stimulus / Turbo)</li> <li>Datastores: PostgreSQL, Redis</li> <li>Infrastructure: Heroku</li> <li>CI/CD: GitHub Actions</li> <li>Architecture: Modular monolith, engineers work across the stack</li> </ul> <h3>What "Senior" Means at HireArt</h3> <h3>A Senior Engineer Here Is Trusted To</h3> <ul> <li>Own projects end-to-end</li> <li>Coordinate with teammates contributing to the same epic</li> <li>Make tradeoffs without perfect information</li> <li>Improve team velocity, not just personal output</li> </ul> Senior engineers are not expected to operate on autopilot or wait to be told exactly what to do. Compared to a mid-level engineer, seniors proactively improve how work gets done. Compared to a staff engineer, seniors do less explicit culture reinforcement and organizational shaping. <h3>On-call and Production Ownership</h3> <ul> <li>On-call is very limited</li> <li>A dedicated on-call engineer escalates to the feature team ~10% of the time</li> <li>Expected involvement in debugging production issues is low</li> <li>Expectations around testing and code quality are high</li> </ul> <h3>Requirements</h3> <ul> <li>Significant, real-world Ruby on Rails experience</li> <li>Experience owning large features end-to-end in a product organization</li> <li>Strong practice of writing and maintaining automated tests</li> <li>Comfortable working closely with product managers and stakeholders</li> <li>Proven ability to work with remote teams while staying highly communicative and proactive</li> <li>8–10 years of professional experience, or equivalent depth through impact</li> </ul> <h3>Nice-to-Have Experience</h3> <ul> <li>Leading work involving Stimulus / Turbo</li> <li>Experience in entrepreneurial or early-stage environments</li> <li>Strong end-to-end (E2E) testing practicesERP‑style data modeling or complex domain modeling</li> <li>Staffing, HR, or marketplace domain experience</li> </ul> <h3>Interview Process</h3> <h3>Candidates Can Expect To</h3> <ul> <li>Read and discuss a small Rails application</li> <li>Identify impactful improvement opportunities</li> <li>Walk through a past project in depth and defend (or critique) technical decisions</li> <li>Be evaluated on clarity, humility, and impact—not just technical correctness</li> </ul> <h3>HireArt Offers a Benefits Package That Includes</h3> <ul> <li>Equity</li> <li>Dental, medical, and vision for yourself and your dependents</li> <li>Life and disability insurance</li> <li>Paid Parental Leave</li> <li>Work‑from‑home stipends, including:<ul> <li>Workspace/home office set-up</li> <li>Company supplied Apple laptop</li> <li>Phone/internet stipend</li> </ul></li> <li>Uncapped PTO as well as paid office holidays</li> <li>401(K) through Fidelity</li> </ul> This is a full‑time, permanent position with HireArt and is open to candidates who reside and are authorized to work in the United States and able to work during Eastern Time Zone business hours. Unfortunately, we're unable to offer sponsorships or do corp‑to‑corp. HireArt values diversity and is an Equal Opportunity Employer, which is why we are interested in every qualified candidate, regardless of their background, how they identify, or their inclusion in any protected class.</div> #J-18808-Ljbffr

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Software Engineer (Senior)

Maximor AI

full-timefull time

Posted Sep 7, 2026

New York, NY, US

Description

<div><h3>About Maximor</h3>Most AI companies are building copilots.Maximor is building the AI operating system for the CFO office. Our Audit-Ready AI Agents connect to a company's existing finance stack—ERPs, banks, billing, payroll, CRM, contracts, spreadsheets, email, and Slack—and automate the work behind behind the entire order to cash process, record to report process, treasury management, financial reporting and and audit readiness.The goal isn't to help the finance team write better prompts.The goal is for finance teams to review exceptions while AI does the rest.What makes Maximor different is our Unified Finance Context—a financial understanding layer that captures transactions, policies, contracts, historical decisions, and accounting judgment. On top of it sit Audit-Ready AI Agents that can reason, explain their decisions, elevate uncertainty, and continuously improve.We've raised $9M led by Foundation Capital, alongside BoldCap, Gaia Ventures, Aravind Srinivas (CEO of Perplexity), and finance leaders from Zuora, Ramp, Gusto, MongoDB, Zoom, and the Big Four.<h3>What You'll Own</h3>You won't own tickets—you'll own a piece of the future accounting stack.Every senior engineer owns a finance domain (revenue, cash, close, reporting, payroll, fixed assets, tax, or controls) and ships it end-to-end with a pod of 2–3 engineers.No PM writes your specs. No architecture committee approves your ideas. You work directly with controllers, accountants, and CFOs to understand the problem, then build the system that replaces the manual process.<h3>Problems Worth Your Brain</h3><ul><li>How do you build AI agents that finance teams and auditors can trust? Verification, guardrails, observability, and evaluation systems for non-deterministic AI.</li><li>How do you give an agent the right financial context? Context engineering over transactions, ledgers, contracts, policies, and historical decisions—without bloat, drift, or data leakage.</li><li>How do you turn messy enterprise systems into a unified source of truth? Ingest, normalize, and reconcile data from ERPs, banks, payroll, billing platforms, CRMs, and email.</li><li>How do you orchestrate durable AI workflows in the real world? Long-running, replay-safe workflows across flaky, stateful enterprise systems.</li><li>How do you safely write back to systems of record? Idempotent, audit-ready updates to ERPs and financial systems with full traceability.</li></ul><h3>A Few Strong Opinions</h3><ul><li>The engineer who can’t operate AI agents fluently is becoming obsolete, fast. Fluency with Claude, Cursor, and internal agent tooling is a second cortex.</li><li>“Backend vs. frontend” is dissolving. The agents do the typing. The constraint is product judgment, system design, and the ability to close the loop from problem to shipped feature. Our engineers ship full-stack when the work calls for it.</li><li>The pod is the unit of leverage. Two engineers who can hold an entire module in their heads ship more than ten engineers who each own a slice. Specialization across pods, generalist within them. Our engineers raise the ceiling for every pod.</li><li>The accountant + engineer loop is the moat. Engineers who sit with controllers and build from what they see compound faster than the ones who don’t.</li></ul><h3>What Great Looks Like Here</h3><ul><li>You can learn a finance workflow in the morning and ship it by the end of the day. The ability to quickly understand a domain and translate it into software is the single most important skill on the team.</li><li>You think like an owner. You're a current or future founder who scopes your own work, thinks from the customer's perspective, owns decisions, and drives outcomes without waiting for direction.</li><li>You solve problems end to end. The team is split vertically, so every engineer owns a part of the product and makes decisions across the LLM pipeline, infrastructure, backend, and UX.</li><li>You care about getting it right. A 100% solution beats an 80% one. When something breaks, you go to root cause.</li><li>You operate AI coding agents at a high level. You have opinions about which agent to use for which task. You’ve shipped real production code through them.</li></ul><h3>What You Should Have Done Before</h3><ul><li>5+ years of software engineering, mostly backend or infrastructure.</li><li>Strong backend chops in a modern language — Python, Go, Java, Rust, or similar. Our stack is Python; if your deep experience is elsewhere, ramp fast.</li><li>Built hard backend systems — distributed pipelines, transactional or ledger systems, integration platforms, or workflow engines.</li><li>Worked at an early-stage startup (pre-seed through Series B).</li></ul><h3>You’ll Stand Out if</h3><ul><li>You've worked in fintech, ERP, accounting, payments, banking, treasury, audit, or compliance software.</li><li>You've built production AI agents, not just demos.</li><li>You've built evaluation frameworks, verification systems, or observability platforms for AI.</li><li>You've worked with data warehouses, financial systems, or enterprise integrations.</li><li>You've been the engineer customers asked for by name.</li></ul><h3>The Upside</h3><ul><li>Exceptional teammates with high ownership and direct access to customers, CFOs, controllers, and founders.</li><li>Top-of-market compensation and meaningful early-stage equity.</li><li>Full medical, dental, and vision coverage for employees and dependents, plus 401(k) match.</li><li>Meals, a stocked NYC office, and the chance to help define an entirely new category: Audit-Ready AI for Finance.</li></ul></div> #J-18808-Ljbffr

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Senior Software Engineer, Stream Processing

MongoDB

full-timefull time

Posted Sep 7, 2026

New York, NY, US

Description

<div>Atlas Stream Processing enables developers to continuously process streaming data alongside critical application data stored in their database. It builds on MongoDB’s integrated developer data platform, so developers can stand up a stream processor and database with just a few API calls and lines of code, all fully managed. Our product is quickly gaining traction, and we are adding core features that you will contribute to and own.The team owns the C++ stream processing engine that powers Atlas Stream Processing, built on top of MongoDB's Aggregation Framework. The team operates like a startup within the company, a small group with real autonomy, responsible for everything from the core execution engine and stream processing stages. We’re looking for a Senior Software Engineer to design, build, and evolve this execution engine.<h3>Position Expectations</h3><ul><li>Design, build, and deliver core components of the system in collaboration with other stakeholders</li><li>Help shape architecture, development practices, and escalation policies as the teams and the product grow</li><li>Mentor fellow engineers and assume ownership and accountability of projects</li></ul><h3>Qualifications</h3><ul><li>Strong background in database internals or building core components for data processing systems (including query execution, storage engines, autotuning, and workload optimization)</li><li>5+ years of experience in building database services, distributed systems, and/or foundational cloud services at scale</li><li>Proven success in designing, writing, testing, debugging, performance tuning, possessing a strong grip on the foundational material of computer science, and maintaining distributed and/or highly concurrent software systems in large, long-lived code bases</li><li>Good verbal and written technical communication skills, desire to collaborate with colleagues, mentor fellow engineers, and assume project ownership and accountability</li><li>Track record of identifying problems, implementing solutions, and delivering complex projects in distributed systems or databases</li><li>Strong sense of ownership, accountability, and pride</li></ul><h3>Nice to have</h3><ul><li>Hands‑on modern C++ experience in performance‑sensitive systems</li><li>Background with stream processing or query engines. Exposure to systems such as Flink, Spark, Beam, Kafka Streams, or database query engines</li></ul><h3>About MongoDB</h3>MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the data platform for the AI era, enabling builders to create, transform, and disrupt industries with software. MongoDB’s unified data platform, the most widely available, globally distributed data platform on the market, helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud data platform and is available across AWS, Google Cloud, and Microsoft Azure.With offices worldwide and over 67,000 customers, including AI-native startups and approximately 75% of the Fortune 100, relying on MongoDB for their most important applications, we’re powering the next era of software.Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB.To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.MongoDB, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type and makes all hiring decisions without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.MongoDB’s base salary range for this role is posted below. Compensation at the time of offer is unique to each candidate and based on a variety of factors such as skill set, experience, qualifications, and work location. Salary is one part of MongoDB’s total compensation and benefits package. Other benefits for eligible employees may include: equity, participation in the employee stock purchase program, flexible paid time off, 20 weeks fully-paid gender-neutral parental leave, fertility and adoption assistance, 401(k) plan, mental health counseling, access to transgender-inclusive health insurance coverage, and health benefits offerings. Please note, the base salary range listed below and the benefits in this paragraph are only applicable to U.S.-based candidates.MongoDB’s base salary range for this role in the U.S. is: $126,000—$248,000 USD</div> #J-18808-Ljbffr

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Senior Software Engineer

Take2

full-timefull time

Posted Sep 7, 2026

New York, NY, US

Description

<div><h3>About Take2 AI</h3>Take2 AI automates phone screens with AI agents. Take2's AI Interviewers automate the end-to-end screening process - evaluating resumes, conducting phone screens, and scheduling next round interviews with qualified candidates. Our AI Interviewers help reduce overhead costs while boosting speed-to-hire and preventing mis-hires. For candidates, this guarantees they’re never left without a response and delivers a better experience, uncovering skills that go beyond the resume.We are a team of Stanford GSB alums, backed by SemperVirens & Reach Capital. Our advisory board consists of ex CHROs of F500 companies such as Visa, HP, Disney & Google.Want a sneak peek of what we are building? Check out this video!https://youtu.be/UorNA5uuQjU<h3>About The Role</h3>Take2 AI is hiring a hands-on Senior Software Engineer to lead and scale the infrastructure powering our AI-driven products.Our systems already support thousands of candidate interactions each month—now we’re building for millions. You’ll evolve the architecture to meet new demands, guide technical direction, and mentor engineers while delivering high-impact solutions.This role is ideal for someone who thrives in both high-scale environments and fast-moving startups, playing a key leadership role from design through production with significant ownership over technical execution and direction.<h3>In Terms of Experience</h3><h3>Required:</h3><ul><li>10+ years software engineering experience (with high exposure to full stack)</li><li>Bachelor’s in Computer Science or Computer Engineering</li><li>Has held titles such as Senior SWE, Staff/Principal Engineer, Software Engineering Lead, or Technical Lead</li><li>2+ years at a Series D+ company</li><li>2+ years at a fast-paced and high-growth early-stage startup (Series A or lower)</li><li>Demonstrated hands-on technical leadership—ownership of a domain, architecture decisions, delegation/mentoring</li><li>Experience building, operating, and scaling high-throughput, high-availability distributed systems, including observability/monitoring and reliability for mission-critical systems</li><li>Capable of contributing across the stack—backend, infrastructure, and web/frontend—jumping in where needed to deliver end-to-end solutions.</li><li>Comfortable navigating and working within infrastructure environments, including Kubernetes (EKS), ECS, EC2, and Docker—able to deploy, troubleshoot, and optimize services in production.</li><li>Skilled with JavaScript, Node.js, Python, React, AWS, EKS, ECS, Kubernetes, Docker, MySQL/Postgres</li></ul><h3>Preferred:</h3><ul><li>Built, deployed and scaled end-to-end AI applications (LLMs, speech/voice, recommendation engines, etc.) in consumer-facing products</li><li>Experience with LLMs, Voice, Streaming, Low Latency, or Machine Learning Pipelines</li></ul><h3>What You’ll Do</h3><ul><li>Evolve and scale the backend architecture powering our AI-driven products</li><li>Lead technical execution: set architectural direction, mentor engineers, delegate effectively, and remain hands-on</li><li>Build and deliver end-to-end AI applications in close collaboration with product and founding teams</li><li>Ensure the reliability, scalability, and observability of production systems</li><li>Strengthen and evolve our engineering standards and technical culture as a key early leader on the team</li></ul></div> #J-18808-Ljbffr

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