AI Lead (Python)

About Techjays At Techjays, we build production-grade AI platforms for global clients. We operate at the intersection of backend engineering, distributed systems, and applied AI — delivering secure, scalable, and enterprise-ready intelligent systems. Our team has built and scaled products at Google, Akamai, NetApp, ADP, Cognizant, and Capgemini. About the Role This is not a feature-delivery role. We are looking for an AI Lead who can architect, own, and scale intelligent backend systems end-to-end. You will drive both technical direction and execution — working across LLM integrations, RAG pipelines, agentic AI workflows, and cloud-native backend systems for global clients. What You'll Do - Architect and scale backend systems powering AI-driven applications - Design and implement RAG pipelines, AI agents, and LLM integrations - Own systems end-to-end — from architecture to deployment and scaling - Integrate and optimize LLMs (Claude, GPT, Gemini) for real-world production use cases - Build high-performance distributed systems with observability and cost efficiency - Lead backend and AI initiatives with strong technical ownership - Mentor engineers and raise the technical bar across teams - Collaborate with product and AI teams to deliver AI-native solutions What We're Looking For - 6–10 years of strong backend engineering experience - Hands-on expertise in Python (FastAPI / Django / Flask) - Deep understanding of Generative AI and LLM-based systems - Strong experience with RAG pipelines and Vector Databases (Pinecone, FAISS, ChromaDB, Weaviate) - Solid knowledge of Agentic AI — building autonomous agents and multi-agent workflows - Proficiency in AWS or GCP in production environments - Experience with distributed systems , microservices, and system design - Strong grasp of Data Structures , Algorithms , and Design Patterns - Familiarity with WebSockets , Git , Linux/Unix , and CI/CD Nice to Have - Experience with Anthropic Claude API and Claude Code - Familiarity with real-time data systems or streaming (Kafka, etc.) - MLOps and AI system lifecycle experience - Optimizing AI systems for latency, cost, and scalability Who You Are - You think in systems, not just features - You take full ownership of what you build - You are comfortable navigating fast-moving, ambiguous environments - You stay updated with the latest in Generative AI and backend technologies - Strong communicator who can collaborate across teams and global clients What We Offer - Competitive compensation (Best in Industry) - Work on production-grade AI systems used by global clients - Exposure to cutting-edge AI tools and frameworks - A culture that values clarity, integrity, and continuous growth Skills:- Python, Retrieval Augmented Generation (RAG), LangGraph, Natural Language Processing (NLP), Agentic AI, Large Language Models (LLM), Anthropic Claude, Design patterns, Algorithms, Git, Amazon Web Services (AWS) and Vector database