AI Engineer (Backend)

Role Overview:

We're seeking an experienced AI Engineer with strong backend engineering skills to build and operate the AI agents and Python services behind our property-management platform. This role is responsible for developing agent-based workflows, the FastAPI services around them, and the evaluation, guardrails and cost controls that make AI output reliable enough for production use in an audit-sensitive domain.

Key Responsibilities:

• Design, build and extend agent workflows — supervisor routing, tool calling, human-in-the-loop approval, guardrails and fallback chains.
• Develop and maintain FastAPI backend services with REST and SSE streaming, async SQLAlchemy, Alembic migrations and JWT-based authentication.
• Implement RAG retrieval and grounding over technical documentation and historical work orders, so AI recommendations can cite their evidence.
• Build and own the evaluation harness — replay testing against golden traces, fake-LLM unit tests, and behaviour-drift detection in CI.
• Manage AI cost and reliability controls — per-tenant token budgets, rate limits, usage tracking and multi-model routing through the model gateway.
• Define and version the schemas and API contracts exchanged between agents and services, with automated contract testing against OpenAPI specs.
• Integrate AI agents with ERP and third-party systems, and contribute to the spec-driven code generation pipeline.

Required Skills & Experience:

• Strong Python engineering with production services — async, typing, testing and packaging.
• Hands-on production experience with LLM orchestration frameworks (LangGraph, LangChain or equivalent), tool calling and structured output.
• Proven experience evaluating non-deterministic systems — eval harnesses, replay testing and regression detection.
• Solid backend and API design skills — schema design, versioning, REST/SSE and event-driven patterns.
• Strong relational database skills (PostgreSQL preferred) beyond ORM basics, including query performance analysis.
• Working knowledge of AWS (ECS Fargate, Bedrock, S3, SQS/SNS) and CI/CD practices.
• 5–8 yearsin software engineering, including at least 18 months building production LLM/AI systems.