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<h3>Job Description</h3><div>Job Description<div><br /><b>Resident Engineer</b><br /><br />US-NY-New York<br /><br /><b>Job ID:</b> 2025-3161<br /><b># of Openings:</b> 1<br /><b>Category:</b> REI<br />The LiRo Group<br /><br /><b>Overview</b><br /><br /><p>We have an immediate need for an <strong>Resident Engineer</strong> in <strong>New York City, NY</strong>.</p><p> </p><p>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 continue being a trusted resource for our clients in the public and private sector. We are proud to be known as an <em><strong>“Integrated Construction, Design and Technology Solutions”</strong></em> firm and we have delivered on that label time and again.</p><p> </p><p>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.</p><br /><br /><b>Responsibilities</b><br /><br /><p><strong>Project Overview:</strong></p><p>The Second Avenue Subway Phase 2 Project is a major infrastructure undertaking to extend the Q Line service in Manhattan. The project will be delivered through multiple, overlapping design and construction contracts. The Project Management Consultant (PMC) will be a vital part of an integrated Project Management Team (PMT) responsible for administering, managing, and ensuring the successful completion of the project safely, on schedule, and within budget.</p><p> </p><p><strong>Position Summary:</strong></p><p>The Resident Engineer (RE) serves as the on-site representative of the program management team, responsible for overseeing daily construction activities, ensuring project compliance with design specifications, schedules, budgets, and safety standards. The RE plays a vital role in coordinating between contractors, consultants, clients, and regulatory agencies, ensuring successful delivery of engineering and construction projects under the broader Program Management scope.</p><p> </p><p><strong>Key Responsibilities:</strong></p><p>• Act as the client’s on-site representative during construction.<br />• Monitor daily construction activities for quality assurance and compliance with project specifications, codes, and standards.<br />• Coordinate with design engineers, construction contractors, inspectors, and program management staff.<br />• Conduct regular site inspections and lead field meetings with stakeholders.<br />• Review and approve contractor submittals, RFIs, change orders, and progress payments.<br />• Maintain accurate documentation including daily reports, logs, as-builts, and photographs.<br />• Identify and mitigate construction-related risks or delays; escalate critical issues when necessary.<br />• Enforce safety policies and procedures in accordance with OSHA and project-<br />specific requirements.<br />• Participate in project meetings and prepare status reports for senior management and client stakeholders.<br />• Ensure environmental, permitting, and regulatory compliance on-site.</p><br /><br /><b>Qualifications</b><br /><br /><p>• Bachelor’s degree in Civil Engineering, Construction Management, or a related field.<br />• Professional Engineer (PE) license<br />• Minimum [7-10] years of experience in construction supervision, site engineering, or resident engineering.<br />• Experience with large-scale or multi-site program management environments preferred.<br />• Familiarity with project delivery methods (e.g., Design-Bid-Build, CM/GC, Design- Build).<br />• Proficiency in construction management software (e.g., Procore, Primavera P6, MS Project).<br />• Strong knowledge of construction codes, safety regulations, and industry standards.<br />• Excellent communication, coordination, and leadership skills.</p><p> </p><p><strong>Preferred Qualifications:</strong></p><p>• 10 years of relevant experience.<br />• Professional Engineer (PE), or Certified Construction Manager (CCM)</p><p> </p><p> </p><p><strong>Our Culture:</strong></p><p> </p><p>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.</p><p> </p><ul><li>We offer a comprehensive benefits package and a positive work environment</li><li>Compensation:  $80.00 hr Min - $95.00 hr Max</li><li>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. </li></ul><p><strong>Exact compensation will be determined on the individual candidates’ qualifications and location</strong></p><p> </p><ul><li>The selected candidate must be authorized to work in the United States; Visa sponsorship is not available for this role.</li></ul><p>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.</p><p> </p><p>#ID22</p><p>#ZR22</p><p> </p><br /><br /><p><strong>Compensation details:</strong> 80-95 Hourly Wage</p><br /><br /><p>PI49615d7dfcdd-25405-38216636</p></div></div>

Requirements

• RN
• DO
• PA

Benefits

• Vision

Description

<h3>Job Description</h3><div>Job Description<div><br /><b>Plumbing Engineer</b><br /><br />US-NY-New York<br /><br /><b>Job ID:</b> 2026-3344<br /><b># of Openings:</b> 1<br /><b>Category:</b> MEP<br />The LiRo Group<br /><br /><b>Overview</b><br /><br /><p>We have an immediate need for a <strong>Plumbing Engineer</strong> for our <strong>New York City location.</strong></p><p> </p><p>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 <em><strong>“Integrated Construction, Design and Technology Solutions”</strong></em> firm and we have delivered on that label time and again.</p><p> </p><p>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.</p><br /><br /><b>Responsibilities</b><br /><br /><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 &amp; AutoCAD)</li></ul><br /><br /><b>Qualifications</b><br /><br /><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><strong>PE is strongly preferred.</strong></li></ul><p>Preferred Skills:</p><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><p> </p><p>We are committed to your success, and we invest in your growth and development to unlock your full potential.</p><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><p> </p><p><strong>Our Culture:</strong></p><p>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.</p><p> </p><p>-We offer a comprehensive benefits package and a positive work environment</p><p>-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. <strong>Exact compensation will be determined on the individual candidates’ qualifications and location.</strong></p><p>-The selected candidate must be authorized to work in the United States; Visa sponsorship is not available for this role.</p><p> </p><p>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.</p><p> </p><p>#ID22</p><p>#ZR22</p><p> </p><p> </p><br /><br /><p><strong>Compensation details:</strong> 115000-135000 Yearly Salary</p><br /><br /><p>PI944d65712919-25405-40603380</p></div></div>

Requirements

• RN
• DO
• PA

Description

Professional Engineer / Site Inspector Healthcare Facility Who We Are: At Crothall Healthcare, we do more than support healthcare facilities — we help create environments where patients heal, caregivers thrive, and communities receive exceptional...

Requirements

• DO
• PA

Description

<p><b>AI Platform Engineer | AI Platform Engineering</b></p><p><b>Full-Time</b></p><p><b>Hybrid Onsite (3 days/week)</b></p><h1></h1><h1><b>The Opportunity</b></h1><p>MassMutual's AI Platform Engineering team is looking for a curious, motivated AI Platform Engineer to launch their engineering career on a high-performing team. This is an entry-level role built for recent graduates and early-career engineers. You will learn directly from experienced platform engineers, contribute to real initiatives from your first weeks, and steadily build the skills to help design, deploy, and operate the systems that power AI across the enterprise. We care less about everything you already know and more about how quickly you learn, how you approach problems, and how much you care about doing good engineering work.</p><p></p><h1><b>The Team</b></h1><p>This is a unique opportunity to join the team that builds and operates the AI platform powering MassMutual's AI initiatives. The team works at the intersection of cloud infrastructure, AI/ML systems, and developer experience—delivering the foundational capabilities that shape how the entire organization builds and deploys AI. We partner closely with AI engineering, product, and cloud engineering teams across the enterprise, and we invest in growth through a culture of peer learning, candid feedback, mentorship, and shared technical standards. It is a team where early-career engineers are set up to succeed: hard problems are made tractable through clear documentation, thoughtful onboarding, and engineers who genuinely enjoy teaching.</p><p></p><h1><b>The Impact</b></h1><ul><li>Contribute to platform components—cloud infrastructure, AI serving layers, and developer tooling—under the guidance of senior engineers, growing your understanding of how the pieces fit together.</li><li>Support the design and implementation of platform features such as the LLM gateway, model serving infrastructure, and integration patterns—writing code, tests, and documentation with regular feedback from your team.</li><li>Learn the team’s engineering standards by participating in design reviews and code reviews, and by pairing with more experienced engineers on real problems.</li><li>Take ownership of well-scoped tasks within larger initiatives, delivering them to production with support and steadily taking on more scope over time.</li><li>Help keep the platform healthy by learning reliability practices—monitoring, alerting, SLOs, and incident reviews—and pitching in on operational work.</li><li>Build familiarity with governance and compliance concepts such as access management, audit logging, and AI usage policies, and why they matter to enterprise customers.</li><li>Communicate clearly and ask good questions—sharing what you learn, flagging blockers early, and collaborating with teammates and partner teams.</li><li>Invest in your own growth through mentorship, pairing, and continuous learning, with the goal of ramping toward greater technical independence.</li></ul><p></p><h1><b>The Minimum Qualifications</b></h1><ul><li>Bachelor’s degree in Computer Science, Software Engineering, or a related technical field</li><li>Foundational understanding of cloud computing and exposure to at least one major cloud provider (AWS, GCP, or Azure) through coursework, labs, or projects as shown by coursework or certification.</li><li>2+ years experience in programming proficiency in at least one language such as Python, Go, Java, or a comparable language (this could include coursework, internship experience, bootcamp, etc).</li></ul><p></p><h1><b>The Ideal Qualifications</b></h1><ul><li>Professional experience preferred: Internships, co-ops, apprenticeships, academic projects, and substantial personal projects all count.</li><li>Basic familiarity with version control (Git) and a willingness to learn CI/CD, containers (Docker/Kubernetes), and infrastructure-as-code.</li><li>Curiosity about AI/ML systems and an interest in how models are deployed and served in production.</li><li>Strong written and verbal communication and a genuine eagerness to learn from feedback.</li><li>Hands-on exposure to Kubernetes, Docker, or Terraform through coursework, certifications, hackathons, or personal projects.</li><li>Relevant entry-level certifications are a plus but not required—for example AWS Certified Cloud Practitioner, AWS Solutions Architect – Associate, or CKAD.</li><li>Any hands-on experience with AI/ML frameworks or LLM APIs, even at a hobby or class-project level.</li><li>A public portfolio or open-source contributions (e.g., GitHub) that show initiative and a habit of building.</li><li>Experience collaborating on a team project such as a capstone, hackathon, or group assignment.</li><li>Comfort with ambiguity and enthusiasm for learning quickly in a fast-moving space.</li></ul><p></p><h1><b>What to Expect as Part of MassMutual and the Team</b></h1><ul><li>Structured onboarding and a dedicated mentor to support your ramp-up and early growth</li><li>Regular meetings with the AI Platform Engineering 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>A company with a strong and stable ethical business, industry-leading pay and benefits, where your ethics and integrity will be valued</li></ul><p></p><p>#LI-SC1</p>MassMutual is an equal employment opportunity employer. We welcome all persons to apply.<br /><br />If you need an accommodation to complete the application process, please contact us and share the specifics of the assistance you need. <br /><br />California residents: For detailed information about your rights under the California Consumer Privacy Act (CCPA), please visit our California Consumer Privacy Act Disclosures page.

Requirements

• RN
• DO
• PA

Description

Enterprise IT Leaders - Global Enterprise - Software Engineering/Applications Advisory About this role:Enterprise IT Leaders (EITL) is an executive-level advisory service that delivers expert insight

Description

Senior Software Engineer $50 - $100/hour pay Required Skills Python3 JAVA Rust Algorithms Basics C++ Typescript bug fixing feature implementation codebase refactoring performance optimization 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: Senior Software Engineer Job Type: Contractor (~15 hrs a week) Location: Remote 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. As an expert you will be creating Reinforcement Learning Environments which test an AI model’s ability to solve complex software engineering problems using Model Context Protocol (MCP) tools. Tasks may involve fixing bugs, implementing features, refactoring code, or optimizing performance while requiring agents to discover and reason over information from real MCP servers. You will design reproducible environments, deterministic verification, and golden reference solutions that accurately measure both MCP tool use and software engineering ability. Required Skills and Qualifications: Proficiency in C++, Python, JAVA, GoLang, Typescript, or Rust. Deep understanding of algorithms, data structures, and performance tuning. Demonstrated experience in debugging complex software issues and delivering maintainable solutions. Strong background in feature development and codebase refactoring. Proven ability to optimize software for performance and scalability. Exceptional written and verbal communication skills, with a keen attention to detail. Track record of success in collaborative, cross-functional teams, ideally in remote settings. Preferred Qualifications: Previous experience working on large-scale, distributed codebases. Familiarity with modern AI or machine learning systems is a plus, though not required. Background in participating in rigorous code reviews and contributing to the development of software best practices. Process: Apply to the role, filling out the screening questions Complete AI Interview (approx. 30 minutes) Technical Assessment (Tentative) Hiring Manager review Compensation Structure Compensation is output-based; experts are paid per task that meets the project specifications. The time required to complete work may vary depending on the expert’s experience and workflow. Minimum submission requirements apply. Experts must submit a minimum of tasks per week. Start Timeline Availability We typically fill roles within 48 hours and are looking for experts ready to jump in right away. If selected, we expect you to start your first tasks within 24–48 hours of completing onboarding.

Requirements

• RN
• DO
• NP
• PA

Benefits

• Training

Description

## Senior Software EngineerApplylocations: Remote-CA: Remote-WA: Remote-CO: Remote-NY: Remote-OR(PT)posted on: Posted 25 Days Agojob requisition id: JR28401## **Senior Software Engineer**WME is building the next generation of internal platforms that power one of the world's leading entertainment companies.We're looking for a Senior Software Engineer who enjoys solving hard problems, writing clean and maintainable code, and building systems that become foundational to how an organization operates. The software we build helps agents and teams manage relationships, deals, and opportunities across the global entertainment industry.You'll partner closely with product managers, designers, and fellow engineers to build thoughtful, scalable systems that support critical business workflows. You'll take ownership of features and services end-to-end, contribute to architectural decisions, and help raise the technical bar across the team.We're also investing heavily in AI-assisted development, and engineers on this team actively use modern AI tools and workflows to improve development velocity and product quality. We're building this engineering organization largely from the ground up, so we're looking for engineers who enjoy scrappy environments, are comfortable navigating ambiguity, and want to help shape how a team operates.## **Example Problems You Might Work On*** Building features that capture and connect relationships across the entertainment industry* Implementing modern CRM workflows that replace fragmented legacy tools and spreadsheets* Developing AI-powered features that surface insights from operational data* Building and maintaining APIs and services that support complex deal and workflow management* Migrating legacy applications into modern web-based systems## **What You'll Do*** Design and build scalable web applications and APIs using React, TypeScript, and Next.js* Develop and maintain Node.js backend with REST, gRPC, and GraphQL APIs* Contribute to architectural decisions across frontend and backend systems* Partner closely with product managers and designers to deliver thoughtful solutions* Translate operational needs into practical technical solutions* Participate in and improve CI/CD pipelines and developer tooling* Support and mentor new career engineers on the team## **What We're Looking For*** Solid software engineering experience, typically 5+ years* Strong full-stack development experience building modern web applications* Proficiency in **React**, **TypeScript**, and **Next.js*** Backend experience with **Node.js**, building services and APIs* Experience designing and working with relational databases, particularly **PostgreSQL*** Experience working with cloud infrastructure (**AWS** or **Azure** preferred)* Familiarity with containerized workloads using **Docker** (Kubernetes a plus)* Familiarity with infrastructure as code concepts; experience with **Terraform** a plus* Comfort working with **CI/CD pipelines** (GitHub Actions, Azure DevOps, or similar)* Strong product instincts and collaborative mindset* Comfortable working in environments where systems and processes are still evolving## **How We Build*** Ship practical software that solves real problems* Favor simple, maintainable architectures* Work closely across engineering, product, and design* Use modern cloud infrastructure (AWS / Azure), Terraform, and containerized deployments* Maintain automated CI/CD pipelines to keep shipping fast and safe* Leverage AI-assisted development across the engineering workflow## **AI-First Engineering**AI tools are part of our everyday engineering workflow. We encourage engineers to use modern AI-assisted development tools to accelerate coding, testing, debugging, and system design. We're also actively exploring how AI can enhance the systems we build.*Per local requirements and in the interest of transparency, the rate shown below reflects the prevalent current hiring range for this position. Hiring pay rates are based on a number of factors, including location and may vary depending on job-related qualifications, knowledge, skills and experience. The company strives to provide locally competitive rewards packages, which include base rate along with, as applicable, short- and long-term incentives, growth and developmental opportunities, and robust benefits, such as health care, retirement, vacation and other paid time off, and additional offerings.**Hiring Rate Minimum:*$131,250 annually (minimum will not fall below the applicable state/local minimum salary thresholds)*Hiring Rate Maximum:*$175,000 annuallyWME is an equal opportunity employer and encourages applications from qualified and eligible candidates regardless of sex, race, disability, age, sexual orientation, or religion or belief.<br />#J-18808-Ljbffr

Requirements

• RN
• DO
• PA

Benefits

• Retirement
• Vacation

Description

<p>Google XR is seeking a Senior Software Engineer to design and evolve 3D interactions and the UI for Android XR, bridging Kotlin/Java with a high‑performance C++ engine. You will shape scalable systems for animations and audiovisual behaviors across the XR stack.</p><p>You will partner with UX designers, product managers, and other engineers to deliver a cohesive, performant mobile XR experience and help drive through iterative tools and best practices for faster development cycles.</p><br />#J-18808-Ljbffr

Requirements

• PA

Description

<div><h3>Senior Vice President AI/ML Software Engineer</h3><br /><p>At BNY, our culture allows us to run our company better and enables employees’ growth and success. As a leading global financial services company at the heart of the global financial system, we influence nearly 20% of the world’s investible assets. Every day, our teams harness cutting‑edge AI and breakthrough technologies to collaborate with clients, driving transformative solutions that redefine industries and uplift communities worldwide.</p><br /><p>Recognized as a top destination for innovators and champions of inclusion, BNY is where bold ideas meet advanced technology and exceptional talent. Together, we power the future of finance – and this is all about. Join us and be part of something extraordinary.</p><br /><p>We’re seeking a future team member for the role of Senior Vice President AI/ML Software Engineer to lead the architecture and delivery of production‑grade AI systems built on agentic frameworks, retrieval‑augmented generation (RAG), and LLM orchestration. This is a hands‑on technical leadership role responsible for a team of engineers building autonomous AI pipelines that extract, validate, and reason over complex unstructured documents. You will own the technical vision for a multi‑agent ecosystem — designing pipeline orchestration engines, embedding/vectorization strategies, knowledge retrieval systems, and AI‑assisted code generation tooling. You will lead a VP‑level engineer and a broader team of 4‑8 developers. This role is in New York, NY.</p><br /><h3>What Sets This Role Apart</h3><br /><ul><br /><li>You build the agent framework, not just configure one -- custom orchestration engine, not a LangChain wrapper</li><br /><li>Production AI with real consequences -- extraction accuracy directly impacts financial operations</li><br /><li>Full RAG ownership -- from raw OCR bytes through embedding, retrieval, and generation</li><br /><li>Evaluation-driven culture -- golden‑truth datasets, automated regression, measurable quality gates</li><br /><li>Greenfield AI + enterprise integration -- build new AI‑native systems that plug into established platforms</li><br /></ul><br /><h3>In this role, you'll have the opportunity to impact on our organization in the following ways:</h3><br /><h3>Technical Leadership &amp; Architecture</h3><br /><ul><br /><li>Architect agentic AI systems: multi‑agent orchestration, tool‑use patterns, planning/reasoning loops, and autonomous decision chains</li><br /><li>Design and evolve RAG infrastructure — chunking strategies, embedding pipelines, vector store selection, retrieval ranking, and context window optimization</li><br /><li>Define vectorization strategy: embedding model selection, dimensionality trade‑offs, hybrid search (dense + sparse), and re‑ranking approaches</li><br /><li>Own the AI pipeline orchestration framework — blocks, inlets/outlets, blackboards, memory stores, and content policy enforcement</li><br /><li>Make build‑vs‑buy decisions across the AI toolchain (vector databases, agent frameworks, evaluation harnesses, model gateways)</li><br /><li>Establish patterns for prompt engineering at scale: prompt versioning, chain‑of‑thought decomposition, few‑shot management, and guardrails</li><br /></ul><br /><h3>Agentic &amp; RAG Systems</h3><br /><ul><br /><li>Design multi‑agent architectures with shared memory, blackboard patterns, and inter‑agent communication protocols</li><br /><li>Build autonomous extraction agents capable of planning, tool selection, self‑correction, and validation</li><br /><li>Implement knowledge graph construction from unstructured documents — entity extraction, relationship mapping, and graph‑based retrieval</li><br /><li>Develop evaluation frameworks: retrieval precision/recall, extraction accuracy, agent task completion rates, and hallucination detection</li><br /><li>Design feedback loops: human‑in‑the‑loop correction, reinforcement from golden‑truth datasets, and continuous prompt refinement</li><br /></ul><br /><h3>Team Leadership</h3><br /><ul><br /><li>Lead, mentor, and grow a team of 4‑8 engineers (AI/ML, backend, full‑stack)</li><br /><li>Directly manage a VP‑level AI engineer; provide technical guidance and career development</li><br /><li>Drive architecture reviews, design sessions, and technical decision‑making</li><br /><li>Own sprint planning, technical backlog, and delivery commitments</li><br /><li>Foster a culture of rapid experimentation balanced with production rigor</li><br /></ul><br /><h3>Hands‑On Engineering</h3><br /><ul><br /><li>Implement core agentic components: agent loops, tool registries, memory persistence, and reasoning traces</li><br /><li>Build embedding pipelines — document preprocessing, chunk boundary detection, metadata enrichment, and vector index management</li><br /><li>Develop scoring and validation systems (Bayesian confidence, cross‑agent consensus, golden‑truth comparison)</li><br /><li>Contribute to platform services (Java/Spring Boot) and AI service layer (Python/FastAPI)</li><br /><li>Build AI‑assisted developer tooling: code generation workflows, automated test generation, and intelligent code review</li><br /></ul><br /><h3>Delivery &amp; Operations</h3><br /><ul><br /><li>Own CI/CD pipelines, containerized deployments, and environment promotion</li><br /><li>Define observability: agent execution traces, token usage tracking, retrieval quality metrics, and pipeline telemetry</li><br /><li>Manage schema evolution and data stores (relational + vector)</li><br /><li>Coordinate cross‑team dependencies with platform engineering, data engineering, and infrastructure</li><br /></ul><br /><h3>To be successful in this role, we’re seeking the following:</h3><br /><ul><br /><li>Bachelor's degree or Advanced degree in computer science engineering or a related discipline, or equivalent work experience required.</li><br /><li>10+ years of professional software engineering experience</li><br /><li>3+ years leading or technically mentoring engineering teams</li><br /><li>Deep expertise in AI/ML systems:<ul><br /><li>LLM orchestration, prompt engineering, chain‑of‑thought reasoning</li><br /><li>RAG architectures: chunking, embedding, retrieval, re‑ranking, context assembly</li><br /><li>Agentic patterns: ReAct, tool‑use, planning loops, multi‑agent coordination</li><br /><li>Vector databases and embedding models (OpenAI embeddings, sentence‑transformers, FAISS, Pinecone, Weaviate, or similar)</li><br /><li>Strong Python (3.11+): FastAPI, async/await, Poetry, Pydantic, pytest</li><br /><li>Solid Java experience: Java 21, Spring Boot 3.x, microservice architecture</li><br /><li>Production AI delivery: not just prototypes — systems handling real workloads with observability, error recovery, and audit trails</li><br /></ul></li></ul></div><br />#J-18808-Ljbffr

Requirements

• RN
• DO
• PA
• Telemetry

Benefits

• Vision

Description

<div><h3>Maximor AI — Senior Software Engineer</h3><p><b>Type:</b> Full-time | On-site | New York City, NY<b>Compensation:</b> $170,000–$220,000 + 0.1%–0.35% equity<b>Hiring count:</b> 1<b>Visa sponsorship:</b> None available<b>Reports to:</b> Founding engineering team</p><h3>About Maximor</h3><p>Maximor is building the AI operating system for the CFO office, connecting directly to a company's existing finance stack to automate the full order-to-cash cycle, record-to-report process, treasury management, and financial reporting. Its Unified Finance Context layer captures transactions, policies, contracts, and accounting judgment, powering Audit-Ready AI Agents that can reason, explain their decisions, and elevate uncertainty.</p><p>Founded: 2023 | Team size: 1–10 | Total funding: $9MIndustry: AI ToolsWebsite: maximor.aiOffice: New York City, NY</p><p>Backing (from outreach template + role body): $9M led by Foundation Capital, alongside Aravind Srinivas (CEO of Perplexity) and finance leaders from Ramp, Gusto, and Zuora.</p><h3>Why Candidates Should Join</h3><ul><li><b>Full domain ownership:</b> Each senior engineer owns a finance domain end-to-end — no PM writing specs, no architecture committee to approve decisions.</li><li><b>Frontier backend problems:</b> Building AI agents finance teams and auditors can trust, turning messy enterprise integrations into a unified source of truth, and orchestrating durable, replay-safe workflows across flaky stateful systems.</li><li><b>Strong backing:</b> $9M led by Foundation Capital, with the CEO of Perplexity and finance leaders from Ramp, Gusto, and Zuora behind the company.</li></ul><h3>Intake Call Summary</h3><ul><li>Not provided on the role page.</li></ul><h3>The Role</h3><p>A high-ownership engineering seat where each senior engineer takes full responsibility for a finance domain — from the LLM pipeline and infrastructure through to the customer-facing surface — working directly with controllers, accountants, and CFOs to understand the problem before building the system.</p><h3>What You'll Be Doing</h3><ul><li>Own a finance domain end-to-end (revenue, cash, close, reporting, payroll, fixed assets, tax, or controls) and ship it with a pod of two to three engineers</li><li>Design and build AI agents that reason across fragmented financial data, with verification, guardrails, observability, and evaluation systems for non-deterministic outputs</li><li>Ingest, normalize, and reconcile data from ERPs, banks, payroll platforms, billing systems, CRMs, and email into a unified financial context layer</li><li>Ship idempotent, audit-ready write-backs to systems of record with full traceability</li><li>Sit directly with controllers and finance teams to learn workflows, then translate that understanding into shipped software</li><li>Operate AI coding agents fluently as a daily part of the engineering workflow, owning decisions across the LLM pipeline, infrastructure, backend, and product surface</li></ul><p><b>Tech stack:</b> Python (backend engineering also in modern languages such as Go, Java, or Rust)</p><h3>Requirements</h3><ul><li>5+ years backend or infrastructure engineering</li><li>Seed-to-Series B startup OR high-growth company (Rubrik, Databricks, Ramp, Brex) OR top large-tech (Meta, Google, Stripe, LinkedIn)</li><li>Hard backend systems: distributed pipelines, ledger/transactional systems, integration platforms, or workflow engines</li><li>Resume showing architecture detail and clear personal ownership</li><li>NYC in-person</li><li>Fintech, ERP, or accounting-software background a strong plus</li><li>Startup hours, 6 days a week, 9am to 7pm or 8pm</li></ul><h3>Green Flags</h3><ul><li>Startup or high-growth pedigree with real ownership</li><li>Hard backend systems builder</li><li>Domain depth in finance, fintech, or enterprise integrations</li><li>Production AI agent experience</li></ul><h3>Red Flags</h3><ul><li>Frontend-heavy background with shallow backend depth</li><li>Resume lists technologies without depth or ownership evidence</li><li>Multiple short stints (more than one role under one year)</li></ul><h3>Role Details</h3><ul><li><b>Salary</b> — $170,000–$220,000</li><li><b>Equity</b> — 0.1%–0.35%</li><li><b>On-site policy</b> — In-person at the NYC office; startup hours, 6 days a week, 9am to 7pm or 8pm</li><li><b>Visa sponsorship</b> — None available</li><li><b>Employment type</b> — Full-time</li><li><b>Location</b> — New York City, NY</li></ul><h3>Screening Questions</h3><ul><li>Not provided on the role page.</li></ul><h3>Interview Process</h3><p><b>Stage 1 — Pending Approval</b> — Candidates awaiting initial approval.<b>Stage 2 — Founding engineer screen</b> — Initial technical and cultural-fit conversation with a founding engineer.<b>Stage 3 — Take-home assignment (5–8 hours)</b> — Demonstrates backend engineering depth and ownership approach.<b>Stage 4 — Debrief on take-home</b> — Walkthrough and discussion of take-home work.<b>Stage 5 — On-site (5–6 hours)</b> — Deep technical and team interviews with engineers and founders.<b>Stage 6 — Offer Extended</b><b>Stage 7 — Candidate Hired</b> — Candidate accepts and starts.</p><h3>Ideal Companies &amp; Backgrounds</h3><p>Not provided as a distinct section on the role page. The Requirements name the following as example pedigree companies: High-growth — Rubrik, Databricks, Ramp, Brex Top large-tech — Meta, Google, Stripe, LinkedIn</p></div><br />#J-18808-Ljbffr

Requirements

• RN
• DO
• PA
• Billing