AI Engineer (Backend)

New
T
TechGroveProperty management software
Remote - IndiaFull-TimeSenior
Salary not disclosed
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Job Details

Experience
5–8 years in software engineering, including at least 18 months building production LLM/AI systems.
Required Skills
AWSPostgreSQLPythonFastAPIRESTful APIsLangChain

Requirements

  • Bring 5–8 years of software engineering experience, including at least 18 months building production LLM/AI systems.
  • Have strong Python engineering experience with production services, including async programming, typing, testing, and packaging.
  • Have hands-on production experience with LLM orchestration frameworks such as LangGraph, LangChain, or equivalent.
  • Have experience with tool calling and structured output.
  • Have experience evaluating non-deterministic systems, including evaluation harnesses, replay testing, and regression detection.
  • Have solid backend and API design skills, including schema design, versioning, REST/SSE, and event-driven patterns.
  • Have strong relational database skills beyond ORM basics, including query performance analysis; PostgreSQL is preferred.
  • Have working knowledge of AWS, including ECS Fargate, Bedrock, S3, and SQS/SNS.
  • Have working knowledge of CI/CD practices.

Responsibilities

  • Design, build, and extend agent workflows with supervisor routing, tool calling, human-in-the-loop approval, guardrails, and fallback chains.
  • Develop and maintain FastAPI backend services using REST, 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 evidence.
  • Build and own the evaluation harness, including replay testing against golden traces, fake-LLM unit tests, and behavior-drift detection in CI.
  • Manage AI cost and reliability controls, including per-tenant token budgets, rate limits, usage tracking, and multi-model routing through the model gateway.
  • Define and version 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.
  • Contribute to the spec-driven code generation pipeline.
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