Python Developer – Senior (AI & Data Integration)

Responsibilities

• Collaborating within an agile team using Scrum methodology and participating in the strategic planning of the AI roadmap
• Engaging in architectural, infrastructure, and strategic decision-making processes for AI-enabled services
• Designing and implementing production-ready RAG pipelines and Agentic workflows that leverage internal data
• Integrating Model Context Protocols (MCP) to standardize how AI tools interact with diverse data sources and environments
• Conducting code reviews for other team members and maintaining high standards for documentation and testability

Requirements

• 7+ years of professional software development experience (at least 4 years of recent programming experience with Python as the primary language)
• Strong understanding of Python internals: asynchronous programming (asyncio), memory management, and performance profiling
• Proven experience building RAG (Retrieval-Augmented Generation) systems and working with LLM orchestration frameworks (e.g., LangChain, LlamaIndex, or CrewAI)
• Solid knowledge of Linux, and proficient command-line skills (Bash/Shell)
• Solid knowledge of Docker and Kubernetes for deploying and scaling containerized applications
• Experience with Relational Databases (PostgreSQL), including query optimization and schema design
• Experience with Redis for caching and state management in distributed systems
• Familiarity with the ELK Stack (Elasticsearch, Logstash, Kibana) for logging, monitoring, and observability
• English proficiency at an Intermediate level or higher

Preferred Qualifications

• Experience with Vector Databases (e.g., pgvector, Milvus, Qdrant) and semantic search optimization
• Experience implementing Model Context Protocol (MCP) or similar interoperability standards
• Understanding of distributed application principles and microservice architecture
• Familiarity with modern back-end design patterns
• Experience in fields where data security and integrity are paramount

Benefits

• Full-time remote work opportunities and flexible working hours
• Private insurance
• Additional 1 Day Off per calendar year
• Sports program compensation
• Comprehensive Mental Health Programme
• Free online English lessons with a native speaker
• Generous referral program
• Training, internal workshops, and participation in international professional conferences and corporate events