AI Engineering Lead - Python

What We're Looking For :

• 6 to 10 years of software engineering experience, including senior/lead ownership of production systems end to end.
• Deep fundamentals - system design, API design, testing, CI/CD, debugging production issues at scale. You need these to build agents that operate on real codebases.
• Strong hands-on AI engineering : LLMs, prompt engineering, RAG, agentic frameworks (LangChain, LangGraph, CrewAI, AutoGen), vector databases and embedding pipelines.
• Track record of shipping AI systems to production - not experiments.
• Python depth and real working knowledge of at least one full stack (MERN/MEAN or Java/Spring Boot).
• Experience leading a small engineering team.
• A clear, defensible point of view on where AI genuinely accelerates the SDLC and where it doesn't - you'll be asked to justify it by client architects who are sceptical by default.

Key Responsibilities :

• Architect and deploy end-to-end Agentic AI solutions that automate complex business processes, ensuring high performance and reliability for client operations.
• Lead the integration of Large Language Models (LLMs) and Vector Databases into existing enterprise ecosystems to enhance search, retrieval, and generative capabilities.
• Oversee the full software development lifecycle, utilizing Java, Spring, and full-stack frameworks to build scalable, secure, and maintainable applications.
• Mentor junior engineering talent and foster a culture of technical excellence, ensuring code quality and architectural integrity across all project phases.
• Collaborate directly with client stakeholders to translate ambiguous business challenges into structured technical roadmaps and actionable AI strategies.
• Optimize system performance and latency by refining data pipelines and model inference strategies to meet rigorous production standards.