Back
High: Tier-1 brand, metro Bangalore, mid-level generalist GenAI role, and broad skill requirements.
Medium: core GenAI production skills transfer across industries, though PLM-specific experience increases domain specificity.
High: explicit years, mandatory AI/ML/GenAI production experience, and specific LLM/agentic technology requirements.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Own design, configuration, integration, and release management of packaged or SaaS AI solutions, ensuring stability and performance.
Build and lead development of end-to-end Retrieval-Augmented Generation (RAG) pipelines and agentic AI workflows integrating multiple LLM APIs for enterprise PLM use cases.
Set and govern platform and SDK standards, model selection strategies, and secure AI practices across delivery teams to optimize cost, latency, reliability, and compliance.
Minimum 6+ years overall work experience, with at least 3+ years in AI/ML production and 2+ years in Generative AI.
15 years of full-time education required.
Proficiency in Python programming, including testable code, unit test development, and CI/CD pipeline participation.
Location: Bengaluru office (onsite requirement).
Hands-on experience with Claude LLM ecosystem and Anthropic SDK, including large context window reasoning and agentic development environments.
Proven ability integrating multiple LLM APIs (Claude, OpenAI, Azure, AWS Bedrock) with enterprise PLM workflows and managing token usage and prompt caching for cost efficiency.
Experience leading engineering teams delivering AI solutions in Product Lifecycle Management (PLM) or equivalent complex enterprise domains, with consulting or client-facing exposure.