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Senior AI Engineer
Skills
Software DevelopmentAmazon Web ServicesArtificial IntelligenceDebuggingEngineeringGoogle Cloud PlatformHTML
What the job involves
The main requirements, responsibilities and hiring steps.
Requirements
- 5+ years of software engineering experience with production systems at scale
- Strong experience with LLM and AI integration in production
- Full-stack capability across API integration and UI
- Experience with Next.js TypeScript and PostgreSQL or Supabase
- Understanding of LLM reliability patterns and hallucination handling
- Startup experience with end-to-end ownership
- Strong debugging skills under production pressure
- Ability to work with US time zone overlap
Nice to have
- Multi-agent systems experience
- MCP familiarity
- Cloud platform experience
- Regulated industry background
- Public technical writing
- Open source contributions
- Real-time systems experience
- Financial and legal data familiarity
Day to day
- Own and expand Lexsy's AI infrastructure for production legal workflows
- Build repeatable AI agent frameworks and orchestrate multiple LLMs with intelligent fallback and context management
- Integrate 30+ external services and deliver reliable client-facing automation with guardrails audit logging and human approval gates
Hiring process
- Follow application steps here: https://www.lexsy.ai/careers/role-brief/senior-ai-engineer
- Applications sent via LinkedIn will not be reviewed