Lead / Sr AI Developer

About the job

You’ll Do • Architect, build, and optimize production-grade Generative AI applications using modern frameworks such as LangChain, LlamaIndex, Semantic Kernel, or custom orchestration layers. • Lead the design of Agentic AI frameworks (Agno, AutoGen, CrewAI etc.), enabling intelligent, goal-driven workflows with memory, reasoning, and contextual awareness. • Develop and deploy Retrieval-Augmented Generation (RAG) systems integrating LLMs, vector databases, and real-time data pipelines. • Design robust prompt engineering and refinement frameworks to improve reasoning quality, adaptability, and user relevance. • Deliver high-performance backend systems using Python (FastAPI, Flask, or similar) aligned with SOLID principles, OOP, and clean architecture. • Own the complete SDLC, including design, implementation, code reviews, testing, CI / CD, observability, and post-deployment monitoring. • Use AI-assisted environments (e.g., Cursor, GitHub Copilot, Claude Code) to accelerate development while maintaining code quality and maintainability. • Collaborate closely with MLOps engineers to containerize, scale, and deploy models using Docker, Kubernetes, and modern CI / CD pipelines. • Integrate APIs from OpenAI, Anthropic, Cohere, Mistral, or open-source LLMs (Llama 3, Mixtral, etc.). • Leverage VectorDB such as FAISS, Pinecone, Weaviate, or Chroma for semantic search, RAG, and context retrieval. • Develop custom tools, libraries, and frameworks that improve development velocity and reliability across AI teams. • Partner with Product, Design, and ML teams to translate conceptual AI features into scalable user-facing products. • Provide technical mentorship and guide team members in system design, architecture reviews, and AI best practices. • Lead POCs, internal research experiments, and innovation sprints to explore and validate emerging AI techniques.

Requirements

• Generative AI
• Prompt Engineering
• Python
• MLOps
• API Integration

Qualifications

• Bachelor's or Master's in Computer Science
• Machine Learning, or a related technical discipline

Preferred Technologies

• Generative AI
• Prompt Engineering
• Python
• MLOps
• API Integration