#RF #vacancy #hybrid #Python #AI #ML

Vacancy: Python Developer (hybrid) Grade: Senior Company: JETLYLN Format: remote Location: Saint Petersburg (office) Citizenship: RF Salary Range: from 240,000 to 320,000 rubles net per month Employment terms, format: Labor Code/Individual Entrepreneur

Responsibilities: 🔹 designing and developing production systems using Python 3.12+ for AI agents and LLM models; 🔹 implementing multi-agent architecture: integrating components, implementing pipelines and custom orchestrators (LangChain, LangGraph, RAG); 🔹 developing and supporting APIs (FastAPI, Django): creating microservices, REST, asynchronous services; 🔹 integrating with relational, NoSQL, and vector databases (PostgreSQL, Redis, MongoDB, VectorDB: ChromaDB, QDrant); 🔹 creating, training, and implementing ML models (ML pipeline, Prompt Engineering, RAG, quality assessment, A/B testing); 🔹 containerization (Docker, Docker Compose) and deployment in Kubernetes, partial configuration of DevOps processes (CI/CD: Jenkins, ArgoCD); 🔹 developing unit tests, code reviews, performance optimization, security assurance; 🔹 interaction in Agile teams, participation in planning, mentoring.

Requirements:

Critical: 🔺 mandatory experience in AI/ML development

🔹 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 APIs; 🔹 experience in designing and maintaining 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, logging organization; 🔹 confident knowledge of Git, teamwork experience (Agile, Scrum); 🔹 English B2+ for reading documentation and communications; 🔹 good communication skills, initiative, and readiness to take responsibility for the results of one's work

Will be a plus: 🔹 Fine-tuning and LLM customization, prompt engineering, quality assessment; 🔹 experience with MLOps, LLMOps and multi-regional architectures; 🔹 participation in R&D or open-source projects, mentoring, architectural thinking; 🔹 work with GigaChat API.

Send resumes and questions, please, via Telegram direct message to @Geniya_HR