Moscow, St. Petersburg Company: Bell Integrator ☑️We expect:

Proficiency in Python 3.12+: deep knowledge of standard and modern language features (asyncio, typing, dataclasses, pydantic, pytest)
Practical experience in developing AI/ML solutions using LangChain, LlamaIndex, RAG, integration with LLM API
Experience in designing and supporting high-load REST APIs on FastAPI/Django (architecture, DI, serialization, OpenAPI)
Advanced work with PostgreSQL/Redis, designing complex schemas, indexing, optimization, vector databases
Containerization skills, deployment in Kubernetes
Experience in implementing CI/CD pipelines, monitoring, alerting, organizing logging
Solid knowledge of Git, teamwork experience (Agile, Scrum)
English B2+ for reading documentation and communications

☑️Tasks: You will be the sole Python developer on the team and responsible for implementing AI agents "from scratch" to production.

Design and develop production systems using Python 3.12+ for AI agents and LLM models

Implement multi-agent architecture: integrate components, implement pipelines and custom orchestrators (LangChain, LangGraph, RAG)

Develop and support APIs (FastAPI, Django): create microservices, REST, asynchronous services

Integrate with relational, NoSQL, and vector databases (PostgreSQL, Redis, MongoDB, VectorDB: ChromaDB, QDrant)

Create, train, and deploy ML models (ML pipeline, Prompt Engineering, RAG, quality assessment, A/B testing)

Containerize (Docker, Docker Compose) and deploy to Kubernetes, partial setup of DevOps processes (CI/CD: Jenkins, ArgoCD)

Develop unit tests, code reviews, performance optimization, security assurance

Collaborate in Agile teams, participate in planning, mentoring

☑️Conditions:

Moscow, St. Petersburg Company: Bell Integrator ☑️We expect:

Proficiency in Python 3.12+: deep knowledge of standard and modern language features (asyncio, typing, dataclasses, pydantic, pytest)
Practical experience in developing AI/ML solutions using LangChain, LlamaIndex, RAG, integration with LLM API
Experience in designing and supporting high-load REST APIs on FastAPI/Django (architecture, DI, serialization, OpenAPI)
Advanced work with PostgreSQL/Redis, designing complex schemas, indexing, optimization, vector databases
Containerization skills, deployment in Kubernetes
Experience in implementing CI/CD pipelines, monitoring, alerting, organizing logging
Solid knowledge of Git, teamwork experience (Agile, Scrum)
English B2+ for reading documentation and communications