AI Transformation Engineer

Overview

AI Transformation Engineer (AI Engineer) to design, build, and ship production-grade AI systems and tools for real business teams.

What you'll do

• Design, build, and maintain production-grade AI systems (multi-agent workflows, RAG, workflow automation, LLM-powered services).
• Lead technical implementation of complex AI initiatives from discovery through deployment.
• Architect scalable backend services, APIs, evaluation pipelines, and retrieval systems.
• Improve reliability, observability, and performance of production AI applications.
• Define engineering standards, reusable components, and best practices for AI development.
• Collaborate with business stakeholders to translate problems into scalable AI solutions.
• Evaluate foundation models/frameworks/prompting strategies and recommend adoption.

What you'll need

• 5+ years of experience in software engineering, machine learning engineering, AI engineering, or a similar technical role.
• Strong Python development skills for production systems.
• Deep understanding of LLMs, prompting techniques, structured outputs, and tool/function calling.
• Experience designing and deploying RAG systems (chunking, embeddings, retrieval optimization, reranking, evaluation).
• Experience building agentic workflows using frameworks such as LangGraph, LangChain, OpenAI Agents SDK, or similar.
• Experience integrating external APIs and enterprise systems.

Details

• Based in India and reports to the AI Engineering Manager.
• Must overlap with the core team during morning IST hours for collaboration and code reviews.