About this role
Lexapar is seeking an AI Engineer to design, build, and ship AI-powered features for their legal technology platform. The role focuses on developing model harnesses, evaluation infrastructure, and agentic scaffolding to ensure reliable, production-grade AI performance in legal workflows.
Responsibilities
- Develop and maintain model harnesses, evaluation suites, and regression test beds.
- Build and optimize RAG pipelines and agentic/tool-use workflows for legal document reasoning.
- Design and iterate on prompts, context strategies, and system architectures.
- Integrate foundation models and perform structured evaluations for quality, latency, and cost.
- Own the AI layer in production, including monitoring, guardrails, and observability.
- Collaborate with product, engineering, and legal experts to translate workflows into AI features.
Requirements
- 3+ years of hands-on experience building production applications using LLMs and AI models.
- Demonstrated experience building model evaluation infrastructure and test suites.
- Practical skills in RAG, agentic frameworks, prompt engineering, and orchestration.
- Strong backend and software engineering fundamentals.
- Ability to design and ship robust, well-tested production systems.
- Experience with both API-based and open-source models.
- Ability to operate with high autonomy in a fast-moving environment.
Preferred Qualifications
- Interest or exposure to legal technology, document-heavy workflows, or regulated industries.
Benefits
- Opportunity to shape core AI infrastructure for a legal tech product.
- Collaborative environment with experienced technologists and legal professionals.
- Competitive compensation.
Skills for this role
LLMsRAGAI AgentsPrompt EngineeringModel EvaluationBackend EngineeringOrchestrationSystem ArchitecturePythonAPI Integration