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About the Role
Build the AI systems that help the world's best and brightest build in the U.S. You'll own the agents and infrastructure that power complex legal workflows, including workflow orchestration, backend services, and evaluations. You'll work directly with the legal team to understand their processes and turn early experiments into reliable production systems.
Responsibilities
- Build agentic systems that automate complex, multi-step legal workflows, with human review and intervention at the right points.
- Redesign task and workflow orchestration to support long-running work, dependencies, retries, and recovery.
- Build evaluation systems to measure output quality, catch regressions, and guide improvements to agents, prompts, and models.
- Improve the architecture of backend services, event pipelines, and scheduled job infrastructure.
- Make agent execution observable for understanding, debugging, and managing quality, latency, and cost.
- Connect systems to internal tools and applicant-facing portal, including APIs and interfaces for work supervision.
Requirements
- 4+ years shipping production software with deep experience in backend systems and experience building AI/ML powered applications.
- Experience building with LLMs beyond a basic chat interface, considering tool use, context, evaluation, and handling unreliable outputs.
- Ability to work with domain experts to translate nuanced processes and quality judgments into software behavior and meaningful evaluations.
- Comfortable working in Python and TypeScript, or similar languages.
- Experience leading projects end to end, from ambiguous requirements through deployment and ongoing operation.
- Solid understanding of workflow orchestration and asynchronous systems, including queues, events, retries, idempotency, and failure recovery.
- High agency: ability to independently research unfamiliar problems, test approaches, and drive them to a working solution.
- Experience operating agents in production, building eval infrastructure, or working on complex document workflows is especially relevant.
- Strong engineering judgment is valued over experience with a particular framework.
Skills
- Backend systems
- AI/ML powered applications
- LLMs
- Tool use
- Context management
- Evaluation
- Handling unreliable outputs
- Python
- TypeScript
- Workflow orchestration
- Asynchronous systems
- Queues
- Events
- Retries
- Idempotency
- Failure recovery
- Agent execution observability
- API integration
Location
- San Francisco
- New York
Work Type
- In person
Experience Level
- Senior
- Staff
Salary/Compensations
- Competitive base and equity, scaled with experience.
Benefits
- Visa sponsorship
- Competitive medical, dental, and vision benefits
- 401k with a 3% company match
- Equipment/office stipend
- Annual team off-site
About the Company
- Engineering is woven into the company.
- Work directly with legal ops team, product, and customers weekly.
- Value independent judgment.
- Protect focused time with async coordination.
- Care about craft: clean APIs, fast UIs, and well-structured data models.
- Bicoastal but tight-knit team operating like one small, close team.
Equal Opportunity
- Lighthouse is an equal opportunity workplace; we welcome people from all backgrounds, communities, and experiences.