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Senior AI Engineer, Production Agent Systems

Skills
APIContextData ScienceDatabasesEngineeringFundamentalsLarge Language Models
Role

What the job involves

The main requirements, responsibilities and hiring steps.

Requirements

  • 5+ years of software engineering experience with strong engineering fundamentals and hands-on production ownership
  • Has shipped a complete AI agent system to real users owning the full harness end to end across orchestration tool-calling memory retrieval evaluation and guardrails
  • Strong TypeScript proficiency with experience across LLM orchestration structured outputs function calling embeddings RAG prompt engineering and validation systems
  • Comfortable operating in an early-stage startup environment with high ownership and low structure
  • Strong preference for former founders founding engineers or engineers who have operated as senior ICs in small fast-moving teams
  • Technical undergraduate degree in CS data science or a similar field from a top US university preferred

Nice to have

  • Founding engineer
  • Startup savvy
  • Product thinking
  • High ownership
  • Technical taste

Day to day

  • Design, build, and ship the agentic core of the platform using TypeScript Bun and Mastra
  • Build production-grade orchestration planning tool-calling memory retrieval RAG evaluation and guardrail systems
  • Connect agents to internal data sources third-party APIs databases documents and business workflows
  • Create validation systems and evaluation workflows that improve accuracy reliability and trust in AI outputs
  • Work closely with the founders product and engineering to turn complex business and financial workflows into intuitive AI-powered product experiences

Hiring process

  • Initial conversation with the CEO
  • Co-founder conversation focused on product thinking and agent systems experience
  • Technical interview with the Head of Engineering
  • Final in-person meeting with the founders