Back
Tier-1 employer and Bengaluru metro increase competition, but specialized LLM/MLOps skills narrow the qualified applicant pool.
Core LLM, MLOps, and cloud engineering skills are highly transferable across industries.
Explicit 5-10 years and many mandatory LLM, MLOps, cloud, and productionization requirements.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Design and build AI-powered solutions automating complex tasks across Common Shared Services processes using LLMs and AI agents.
Develop and integrate AI capabilities into enterprise platforms (e.g., SAP, ServiceNow, Microsoft 365) with production-grade delivery, focusing on scalability, performance, and compliance.
Evaluate emerging AI technologies via prototypes and pilots; establish AI evaluation, observability, and responsible AI practices including security and regulatory compliance.
Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or related field; PhD advantageous for AI Exploration track.
5-10 years of experience in software engineering, AI engineering, or related technical disciplines with demonstrated ability delivering AI/Generative AI solutions into production or prototypes.
Strong proficiency in Python and SQL; experience with LLM and agent frameworks (e.g., LangChain, LangGraph, Semantic Kernel) and cloud AI platforms (especially Azure AI Foundry).
Location: Bengaluru, Karnataka, India; Full-time onsite position; Proficiency in spoken and written English required.
Experienced in scaling AI solutions in enterprise environments with strong focus on production readiness and AI governance frameworks.
Comfortable working across AI Delivery and AI Exploration tracks, balancing practical implementation with research and prototyping of emerging AI technologies.
Skilled at collaborating with cross-functional global teams, translating technical AI concepts into actionable business insights for multiple functional domains.