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, with a strong focus on GenAI, RAG, and Agentic AI systems. The ideal candidate combines strong software development expertise with proven experience building production-grade AI/ML and LLM-powered applications.

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

About You:

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

You have advanced Python backend development skills and experience building production-grade applications. 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 also have strong experience building LLM-powered applications, autonomous AI agents, and retrieval systems that integrate enterprise data sources into scalable production environments.

As a Strategio AI Development Engineer, you will:

• Design and develop scalable backend applications using advanced Python
• Build and maintain backend services and REST APIs
• Design and deploy GenAI applications leveraging foundation models and advanced architectures such as RAG and GraphRAG
• Develop autonomous AI agents using modern agentic frameworks
• Implement retrieval workflows (RAG), embeddings pipelines, and AI-powered features within applications
• Develop data pipelines and integrate vector databases, knowledge graphs, and ontology-based retrieval systems where applicable
• Build scalable LLM-driven applications connected to enterprise data sources and third-party APIs
• Implement LLM evaluation frameworks to measure answer relevance, groundedness, hallucination rates, and overall model performance
• Apply LLMOps and MLOps best practices, including CI/CD pipelines, prompt/version management, automated testing, monitoring latency, and others
• Optimize application performance and improve system reliability
• Collaborate across engineering teams, mentor developers, and help drive innovation in GenAI and Agentic AI architectures
• Collaborate in Agile teams to translate business needs into scalable software solutions
• Debug and enhance existing backend systems with strong engineering discipline

Core Skills

• Advanced Python development (clean architecture, API design, async programming)
• Proven software development experience building backend systems
• Strong backend engineering fundamentals (REST, microservices, data modeling)
• Experience integrating AI/ML capabilities into applications
• Production experience working with APIs and scalable systems
• Experience deploying applications to AWS, Azure, or GCP
• Strong analytical thinking and problem-solving ability
• Experience with RAG or retrieval-based AI systems

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.