Senior Generative AI Engineer

with document automation or familiarity with legal workflows will be considered a significant advantage.

This is a hands-on role focused on building practical solutions that lawyers will use daily, not academic research.

What you’ll actually be doing:

• 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
• Data Engineering: 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: Translate ambiguous legal workflows into structured AI problems, define acceptance criteria with domain experts, and iterate based on user feedback and eval results

• 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 (not just prototypes or research)
• 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. 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

• 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

The estimated base salary range for this position is $200,000 to $240,000 at the time of posting.

The actual salary offered will depend on a variety of job-related factors, including skills, education, training, credentials, experience, scope and complexity of role responsibilities, geographic location, and performance.

This role is exempt meaning it is not overtime pay eligible.

Cleary provides a comprehensive benefits package, including health care benefits.

More information can be found here: Benefits

We are an equal opportunity employer and prohibit discrimination based on any category protected by law.

Cleary provides reasonable accommodations to enable otherwise qualified employees to perform the essential functions of their position, provided the accommodation does not pose an undue hardship to the Firm.

Click on the following links to view the California Privacy Policy and Notice at Collection for California Residents .