Backend Engineer with LLM

• Python 3.11+ expert

  with strong async/await and asyncio proficiency

• FastAPI

  (or Starlette/aiohttp) for high-performance async backend development

• Layered architecture

  experience (Handler Service Gateway or similar patterns)
• Strong understanding of

  REST API design

  and scalable service patterns
• Production experience integrating

  LLM APIs

  (OpenAI, Anthropic, Azure OpenAI, etc.)
• Experience building

  stateless, horizontally scalable services

• Strong knowledge of

  Docker

  , containerization, and deployment workflows

AI / Agent Platform Essentials

• Understanding of

  LLM orchestration

  (LangGraph or LangChain preferred)
• Experience with

  multi-provider LLM integration

• Ability to implement

  streaming endpoints

  (SSE or WebSockets)
• Familiarity with

  safety guardrails

  (PII filtering, toxicity detection, input validation)

Backend Engineering Fundamentals

• Strong type-safety mindset:

  mypy

  , Pydantic (v1 or v2)
• Proficiency in

  testing

  : unit, integration, and E2E using pytest
• Experience building

  high-concurrency

  async systems
• Solid understanding of

  distributed systems

  (state persistence, retries, idempotency)
• Familiarity with

  PostgreSQL / SQLite / Redis

• Experience with

  OpenAPI/Swagger

  documentation

DevOps, CI/CD & Observability

• CI/CD experience (GitHub Actions or similar)
• Strong knowledge of

  structured logging

  , metrics, and health checks
• Experience with

  OpenTelemetry

  or similar tracing frameworks
• Ability to troubleshoot production issues across async services, LLM gateways, and APIs

Security & Reliability

• Security-first engineering: input validation, secrets management, secure coding
• Knowledge of

  prompt injection risks

  & AI-specific security considerations
• Understanding of resilience patterns (rate limiting, timeouts, circuit breakers)

Team & Collaboration

• Strong code review experience with focus on architecture and quality
• Ability to mentor others on async patterns, LLM integrations, and testing
• Comfortable documenting APIs, system design, and troubleshooting steps