Strategio is seeking a highly skilled Python Backend Developer to join a dynamic Technology Delivery Team supporting large-scale enterprise innovation initiatives.

This is a hands-on development role focused on designing, building, and optimizing scalable backend systems using advanced Python engineering practices. The ideal candidate combines strong software development expertise with experience integrating AI/ML capabilities into production applications.

You will contribute across the full development lifecycle: from backend architecture and API design to system integration, scalability, and performance optimization.

About You:

You’re a hands-on builder who gets genuinely energized by solving hard problems at a very high level.

You have advanced Python development skills and real experience building AI/ML solutions. You can design, build, debug, and ship independently. You understand what your code is doing, and you don’t rely on AI coding tools to carry the development for you.

You thrive in Agile environments, communicate clearly, and bring strong ownership, curiosity, and urgency to the work.

As a Strategio Python Backend Developer you will:

• Design and develop AI-powered applications using advanced Python
• Build backend services and REST APIs to support AI/ML functionality
• Implement RAG pipelines and AI workflows in real-world applications
• Develop embedding pipelines and integrate vector databases for retrieval systems
• Implement MCP integrations and connect AI models to enterprise data sources
• Optimize AI application logic and improve performance at the application layer
• Collaborate in Agile teams to translate business needs into scalable software solutions
• Debug and enhance existing AI systems with strong engineering discipline

Core Skills

• Advanced Python development (clean architecture, API design, async programming)
• Proven experience of software development experience
• Experience building AI/ML solutions using Python (not just calling APIs)
• Production experience integrating LLMs into applications
• Experience implementing RAG or retrieval-based AI systems
• Strong backend engineering fundamentals
• Experience deploying applications to AWS, Azure, or GCP
• Strong analytical thinking and problem-solving ability

Nice-to-Haves:

• Experience with vector databases (Pinecone, FAISS, Chroma, etc.)
• Exposure to agent frameworks or orchestration patterns
• Familiarity with knowledge graphs or ontology-based retrieval
• Light full-stack exposure (React, TypeScript, etc.)
• Experience mentoring or guiding junior engineers

Your job search ends here.

If you’re eager to contribute to cutting-edge projects and want to work with a high-performance team, apply now.