Note: The job is a remote job and is open to candidates in USA. Genesis10 is seeking a Senior Generative AI Engineer for a direct-hire opportunity with a global law firm in New York, NY. The role joins the AI Acceleration Team to own the full lifecycle of LLM-powered products, including legal document analysis, agent workflows, evaluation frameworks, and production deployment. The engineer will collaborate with lawyers, product teams, engineers, and data scientists to deliver accurate, cost-effective, and reliable AI systems.
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
Skills
- 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) 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
- 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
Benefits
- 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)
Company Overview
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