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Mid-level LLM/agent specialization in Bangalore with appealing employer yields medium competition.
Industrial supply-chain and CDF-specific knowledge required makes background fit highly sensitive.
Explicit 5–8 years plus mandatory LLM, agent, knowledge-graph, and full-stack skills increases strictness.
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Own architecture and development of packaged AI agentic workflows for integrated supply chain automation using Cognite Data Fusion Knowledge Graph.
Lead discovery workshops and collaborate globally to integrate and scale AI agents in supply chain and industrial operations.
Support pilot deployments with technical depth, build production-ready agentic solutions, and incorporate customer learnings into product offerings.
5-8 years experience in AI/ML engineering with production-grade delivery involving LLMs, embeddings, and prompt engineering.
Proficiency in building agentic AI systems using frameworks like LangChain and ability to query complex knowledge graphs.
Strong full-stack engineering skills including frontend (React/TypeScript) and backend (Python/Kotlin) experience.
Industrial and supply chain data literacy including handling time series and sparse metadata; Work Experience Required: 5-8 years in AI/ML engineering.
Experienced in building modular multi-agent AI systems for supply chain domains with production mindset towards product-ready solutions.
Able to independently design agents from complex industrial data schemas and coordinate across product, sales, and delivery teams.
Familiar with enterprise supply chain standards (e.g. ERP MM, PP, PM modules), industrial data challenges and cloud-native development.