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Tier-1 employer, Bangalore metro, and a mid-level Lead AI role with broad LLM production requirements increases competition.
Core ML/LLM production skills transfer across industries, while semiconductor domain preference slightly increases specificity.
Explicit years, mandatory ML/LLM stacks, and production AI experience make shortlisting highly strict.
Design and deploy advanced AI systems including LLM applications, RAG systems, multi-agent workflows, and scientific AI solutions with scalable engineering co-pilots and knowledge assistants.
Fine-tune foundation models, build embedding pipelines, vector search systems, agent orchestration frameworks, and assess model performance and business impact.
Develop production-quality AI services using Python, FastAPI, LangGraph, LangChain, Semantic Kernel, integrate with On-Prem, Databricks, Azure AI Foundry, AWS, mentor junior engineers, and lead architecture reviews.
Bachelor’s or Master’s degree in Computer Science, AI/ML, Data Science, or Software Engineering.
5 to 10 years of software engineering experience with minimum 3 years in AI/ML.
Strong expertise in Python, PyTorch, Transformers, LLMs, and vector databases.
Work Location: Bangalore, India; Travel requirement up to 10%.
Experienced in building and scaling production AI/ML systems especially with foundation models and embedding/vector search technologies.
Proficient in cloud and on-prem AI solution integration, including Databricks, Azure AI Foundry, and AWS environments.
Able to lead engineering teams, conduct architecture reviews, establish best practices, and effectively collaborate with product and business stakeholders.