Job Title

Lead / Sr AI DeveloperJob Description 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. What You Bring • 7–12 years of total experience in software development, with at least 3 years in AI/ML systems engineering or Generative AI. • Python experience with strong grasp of OOP, SOLID, and scalable microservice architecture. • Proven track record developing and deploying GenAI/LLM-based systems in production. • Hands-on work with LangChain, LlamaIndex, or custom orchestration frameworks. • Deep familiarity with OpenAI, Anthropic, Hugging Face, or open-source LLM APIs. • Advanced understanding of prompt construction, optimization, and evaluation techniques. • End-to-end implementation experience using vector databases and retrieval pipelines. • Understanding of MLOps, model serving, scaling, and monitoring workflows (e.g., BentoML, MLflow, Vertex AI, AWS Sagemaker). • Experience with GitHub Actions, Docker, Kubernetes, and cloud-native deployments. • Are obsessed with clean code, system scalability, and performance optimization. • Can balance rapid prototyping with long-term maintainability. • Excel at working independently while collaborating effectively across teams. • Stay ahead of the curve on new AI models, frameworks, and best practices. • Have a founder’s mindset and love solving ambiguous, high-impact technical challenges. • Bachelor’s or Master s in Computer Science, Machine Learning, or a related technical discipline