Senior Generative AI Engineer - Remote

Job Description

Job Description

Genesis10 is currently seeking a Senior Generative AI Engineer - Remote for a direct hire opportunity with a Global Law Firm located in New York, NY.

You will join as a Senior Generative AI Engineer on the AI Acceleration Team, reporting to the Data Science Manager, and working with engineers, data scientists, and legal domain experts. This role is for an engineer who can own the full lifecycle of LLM-powered products, from rapid prototyping through production deployment. You will design, ship, and operate AI systems that extract intelligence from complex legal documents, orchestrate multi-step agent workflows, and deliver measurable accuracy improvements under real-world latency and cost constraints.

Responsibilities:

• Own production AI systems end-to-end: Design, build, deploy, and monitor LLM-powered document analysis pipelines (extraction, classification, risk flagging) that serve lawyers daily, meeting defined latency SLAs and accuracy benchmarks
• Transform legal data into structured, high-quality datasets that power our AI systems
• Design and ship agent workflows: Architect multi-step, multi-agent systems for complex legal tasks (e.g., due diligence, contract review, regulatory analysis) with robust state management, tool calling, and human-in-the-loop checkpoints
• Define evaluation and governance frameworks: Build golden test sets, automated eval pipelines, and regression suites. Implement guardrails (prompt firewalls, output filters, PII redaction) to ensure safety and regulatory readiness
• Optimise cost and performance: Manage token budgets across model providers, implement caching and batching strategies, and make data-driven build-vs-buy decisions on model selection (API-served, open-source vs. proprietary)
• Collaborate with lawyers and product to translate ambiguous legal requirements

Requirements:

• At least 3 years of professional experience building and deploying AI systems, with at least 1-2 years focused on LLM/GenAI applications in production
• Deep experience with document-heavy NLP: extraction from complex layouts (PDFs, tables, scanned documents), entity recognition, and structured output generation
• Proven ability to design and optimise RAG pipelines and prompt architectures for accuracy, cost, and latency in production
• Strong Python engineering skills, with clean, tested, production-ready code
• Familiarity with at least one LLM orchestration framework (LangGraph, LlamaIndex, or equivalent) and at least one vector database (Pinecone, Weaviate, pgvector, or equivalent)
• Experience with cloud platforms (AWS or Azure preferred) for deploying and monitoring LLM-backed services, including CI/CD, containerisation, and observability tooling
• Experience designing systematic evaluation methodologies for generative AI (automated evals, golden test sets, faithfulness/hallucination metrics)
• Ability to own a workstream end-to-end: scope it, build it, evaluate it, ship it, and clearly communicate tradeoffs and results to non-technical stakeholders
• Comfortable with CI/CD pipelines, code review, version control, and shipping behind feature flags
• A genuine interest in legal work is essential

Desired skills:

• Experience in a startup or high-velocity AI team where you shipped frequently and wore multiple hats
• Master's or PhD in Computer Science, Computational Linguistics, Mathematics, or a related quantitative field
• Vector databases, retrieval systems, or knowledge graphs experience
• Familiarity with model-serving infrastructure (vLLM, TGI, Triton) and GPU-aware deployment
• Domain experience in legal tech, compliance tech, or other regulated industries where accuracy and auditability are non-negotiable
• Published research or significant open-source contributions in NLP, information retrieval, or generative AI
• Experience with knowledge graphs, ontologies, or semantic reasoning over structured legal data
• Experience with Spark or Databricks and related technologies

Pay range: $200,000 - $240,000 annually

Only candidates available and ready to work directly as Genesis10 employees will be considered for this position.

If you have the described qualifications and are interested in this exciting opportunity, please apply!

Ranked a Top Staffing Firm in the U.S. by Staffing Industry Analysts for six consecutive years, Genesis10 puts thousands of consultants and employees to work across the United States every year in contract, contract-for-hire, and permanent placement roles. With more than 300 active clients, Genesis10 provides access to many of the Fortune 100 firms and a variety of mid-market organizations across the full spectrum of industry verticals.

For contract roles, Genesis10 offers the benefits listed below. If this is a perm-placement opportunity, our recruiter can talk you through the unique benefits offered for that particular client. Benefits of Working with Genesis10:

• Access to hundreds of clients, most who have been working with Genesis10 for 5-20 years.
• The opportunity to have a career-home in Genesis10; many of our consultants have been working exclusively with Genesis10 for years.
• Access to an experienced, caring recruiting team (more than 7 years of experience, on average.)
• Behavioral Health Platform
• Medical, Dental, Vision
• Health Savings Account
• Voluntary Hospital Indemnity (Critical Illness & Accident)
• Voluntary Term Life Insurance
• 401K
• Sick Pay (for applicable states/municipalities)
• Commuter Benefits (Dallas, NYC, SF, and Illinois)

For multiple years running, Genesis10 has been recognized as a Top Staffing Firm in the U.S., as a Best Company for Work-Life Balance, as a Best Company for Career Growth, for Diversity, and for Leadership, amongst others. To learn more and to view all our available career opportunities, please visit us at our website.

Genesis10 is an Equal Opportunity Employer. Candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.