Cleary Gottlieb Steen & Hamilton LLP · 1 month ago
Junior Generative AI Engineer
Cleary Gottlieb Steen & Hamilton LLP is a global law firm with an internal team that builds bespoke AI solutions for legal work. The Junior Generative AI Engineer will help prototype, build, test, and deploy LLM-powered products for analyzing complex legal documents, while collaborating with engineers, data scientists, lawyers, and product specialists.
ConsultingGovernmentLegalProfessional ServicesLaw Enforcement
H1B Sponsor Likely
Responsibilities
Contribute to production AI systems: Under the guidance of senior engineers, help build, test, and improve LLM-powered document analysis features (extraction, classification, risk flagging) that serve lawyers daily
Data Preparation & Engineering: Help clean, structure, and label legal data to power our AI systems — building the data pipelines that make models work well in practice
Build features within agent workflows: Implement bounded components of multi-step AI workflows for legal tasks (e.g. due diligence, contract review) — writing tool integrations, prompt chains, and retrieval logic under the supervision of senior engineers
Support evaluation, quality, and performance: Write test cases, contribute to automated eval pipelines, and help maintain regression suites. Gain exposure to model selection, token budgets, caching strategies, and the guardrails (output filters, PII redaction) that keep production AI systems reliable
Collaborate with lawyers, engineers, and product: Participate in cross-functional sessions to understand legal workflows, contribute to acceptance criteria, and iterate based on user feedback and evaluation results
Dedicated mentor: A senior engineer assigned as your day-to-day mentor for at least your first six months — available for architecture discussions, code review, and career guidance
Structured onboarding: A 90-day onboarding plan covering our stack, legal domain fundamentals, and AI evaluation practices so you're never left guessing what to learn next
Pair programming: Regular pair-programming sessions with senior engineers on production features — the fastest way to absorb patterns, tooling, and judgement
Code review as learning: Every pull request receives a thorough, constructive review. You'll also review others' code early on, reading good code is one of the best ways to write it
AI safety and bias training: Guided training on identifying non-deterministic failure modes, prompt injection risks, bias in LLM outputs, and the responsible-AI practices that govern our systems
Growth path: A clear progression framework from Junior to Mid-Level to Senior, with regular check-ins, stretch goals, and the opportunity to take on increasing ownership as your skills develop
Qualification
Required
Some software development experience (internships, co-ops, or substantial academic/personal projects count), including hands-on exposure to LLM/GenAI tools or APIs and some experience working with text data (parsing PDFs or HTML, basic text processing, or using an LLM for extraction or classification)
Solid Python skills and comfort with basic SQL
Conceptual understanding of how RAG pipelines work
Familiarity with at least one LLM API (OpenAI, Anthropic, or similar)
Basic familiarity with cloud platforms (AWS or Azure) and an understanding of how to evaluate generative AI outputs (accuracy, faithfulness, hallucination)
Strong communication skills: ability to explain what you've built, ask good questions, and clearly describe problems and trade-offs to both technical and non-technical teammates
Preferred
ideally some hands-on experience
Exposure to an orchestration framework (LangChain, LlamaIndex) or a vector database is a plus
Experience in a hackathon, open-source project, or fast-paced team environment where you shipped working software quickly
A degree (Bachelor's or Master's) in Computer Science, Mathematics, Computational Linguistics, or a related quantitative field
Hands-on experience with a vector database or retrieval system (Pinecone, Weaviate, pgvector, FAISS)
Curiosity about model-serving infrastructure (vLLM, TGI) or how open-source models are deployed — you don't need production experience, but interest matters
Any exposure to legal tech, compliance tech, or other regulated industries where accuracy and auditability are critical
A personal blog, portfolio project, or open-source contribution demonstrating your interest in NLP, information retrieval, or generative AI
Interest in or coursework on knowledge graphs, ontologies, or semantic reasoning
Any experience with Spark, Databricks, or data pipeline tooling
Benefits
Remote-first team
Dedicated mentor: A senior engineer assigned as your day-to-day mentor for at least your first six months — available for architecture discussions, code review, and career guidance
Structured onboarding: A 90-day onboarding plan covering our stack, legal domain fundamentals, and AI evaluation practices so you're never left guessing what to learn next
Regular pair-programming sessions with senior engineers on production features
Every pull request receives a thorough, constructive review
AI safety and bias training
A clear progression framework from Junior to Mid-Level to Senior, with regular check-ins, stretch goals, and the opportunity to take on increasing ownership as your skills develop
Comprehensive benefits package, including health care benefits
Company
Cleary Gottlieb Steen & Hamilton LLP
International law firm serving domestic and international clients.
H1B Sponsorship
Cleary Gottlieb Steen & Hamilton LLP has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Customer Service and Support
Legal and Compliance
Accounting and Finance
Trends of Total Sponsorships
*2026 (36)
2025 (25)
2024 (21)
2023 (16)
2022 (25)
2021 (13)
2020 (23)
Funding
Current Stage
Late StageLeadership Team
Alena Loretta, CPA
Chief Financial Officer
Michael Lechner
Chief Operating Officer
Recent News
Business Recorder
2026-08-25
ION Analytics
2025-10-07
globallegalchronicle.com
2025-10-03
Company data provided by crunchbase