Responsibilities:
- Develop and integrate backend services for the AI platform (MCP-Gateway, RAG components, model APIs).
- Build APIs enabling interaction with LLMs (Qwen-2.35B, Open WebUI) and corporate systems (1C, SAP, KSPD).
- Maintain and enhance REST and WebSocket interfaces for internal assistants.
- Integrate with Keycloak using OIDC and JWT, ensuring secure authentication flows.
- Optimize queries for PostgreSQL and ClickHouse; work with queues and asynchronous processing.
- Collaborate closely with the DevOps team on CI/CD processes and deployment of microservices in Kubernetes.
- Write unit and integration tests; maintain effective logging and monitoring (Prometheus, Loki).
Requirements:
- Strong experience in server-side development using Python (FastAPI / aiohttp / Flask) or Go (gin, echo).
- Proficiency with PostgreSQL, Redis, ClickHouse and hands-on experience designing integrations and microservices.
- Solid understanding of Docker, REST API standards and Swagger / OpenAPI documentation.
- Experience with high-load data flows, async architectures and performance optimization.
- Knowledge of RAG architecture and LLM-based APIs is a strong plus.
- Familiarity with Kubernetes and Prometheus is welcomed.
- Ability to work independently while being an active contributor within a product-oriented engineering team.
FUNCTIONS: Finance, Strategy & Operations
INDUSTRIES: IT, Metals & Mining
Apply:
Candidate Referral — 5% of the invoice amount after the candidate has completed the warranty period.