AI-ML Engineer II

Overview

AI/ML Engineer II (individual contributor) for production-grade Machine Learning, Generative AI, and Intelligent Automation systems.

What you'll do

• Own complex ML and Generative AI components from requirements through production.
• Develop, fine-tune, and optimize model and LLM pipelines for accuracy, latency, cost, and reliability.
• Architect and improve advanced RAG systems (hybrid retrieval, re-ranking, chunking, and evaluation).
• Design and build production Agentic AI and multi-agent workflows with tool use, orchestration, and error handling.
• Harden MLOps/LLMOps pipelines including CI/CD, automated evaluation, monitoring, drift detection, and retraining.
• Build integrations with enterprise applications, APIs, data platforms, and vector stores at scale.
• Define prompt-engineering standards, evaluation frameworks, and guardrails for safe LLM systems.

What you'll need

• Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related field.
• 3-7 years of hands-on experience delivering AI/ML systems to production.
• Advanced Python engineering skills and strong software-design fundamentals.
• Deep experience building and optimizing Generative AI and LLM-based applications.
• Strong experience with agentic AI frameworks (LangChain, LangGraph, CrewAI, AutoGen) and production RAG architectures.
• Solid MLOps experience: CI/CD, model deployment, monitoring, and evaluation.
• Experience with at least one major cloud platform, Docker, and containerized deployments.

Details

• Location: Bengaluru East, Karnataka, India.