Middle AI/Backend Developer
Коротко
Develops AI/backend features: LLM agents, RAG, intent routing, Whisper integration; builds with Python, FastAPI, MongoDB, Redis, PostgreSQL, Qdrant; deploys on · Needs: Python 3+ yrs with FastAPI, async, Pydantic, SQLAlchemy, Alembic, RQ/APScheduler; LangChain, LangGraph, LiteLLM, OpenAI API, RAG; PyTorch, Hugging Face
Описание от работодателя
Our client US based IT product company is looking for Middle AI/Backend Developer.
Must have:
Python 3+ yrs - FastAPI, async, Pydantic, SQLAlchemy + Alembic, RQ/APScheduler
LLM stack - LangChain, LangGraph, LiteLLM, OpenAI API, RAG (chunking, retrieval, reranking)
ML - PyTorch, Hugging Face Transformers, scikit-learn, NumPy/Pandas
MongoDB + MQL - aggregation pipelines ($match, $group, $lookup), complex queries - mandatory
Databases - Redis, PostgreSQL, Qdrant (vector search)
Cloud/LLM providers - AWS Bedrock, Ollama, OpenAI/Anthropic API
Docker + Docker Compose (multi-service stacks, GPU images)
Security - JWT, TLS, HMAC, PII anonymization/pseudonymization
Protocols - REST, WebSocket, A2A (agent-to-agent), MCP
Request classifier / intent routing for LLM agents
Whisper (ASR, speech-to-text integration)
Nice to have: Go, Jenkins, LangFuse, OpenTelemetry, Prometheus/Grafana, RAGAS, Ollama, TensorBoard
Soft skills: self-sufficient, accountable, resilient under pressure, able to own a sub-project end to end.