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Tier-1 employer and Bangalore location increase applicant density, but senior specialized AI role limits competition.
Deep GenAI, LLM, and distributed systems expertise required, making cross-industry transferability low.
Requires 10+ years, Principal seniority, and specialized GenAI/LLM and OpenShift skills, enforcing strict filters.
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Architect, design, and lead development of scalable AI agent applications using Python and frameworks like LangChain, LangGraph, LLamaStack.
Develop and optimize retrieval-augmented generation (RAG) pipelines and integrate advanced AI features (RAG, RAFT, GraphRAG, InstructLab).
Collaborate cross-functionally to clarify requirements, mentor distributed engineering teams, and ensure deployment on OpenShift and public clouds with performance, scalability, and security standards met.
Bachelor's degree in Computer Science, Computer Engineering, or related field.
10+ years of professional software engineering experience; at least 1 year using Python.
Experience with distributed systems, public cloud concepts (AWS, GCP), and container platforms like OpenShift/Kubernetes.
Proficient in AI frameworks such as LangGraph, LangChain, Autogen, and knowledgeable of continuous delivery pipelines (e.g., Jenkins).
Strong technical leadership in architecting agentic AI applications and building scalable open-source AI solutions in dynamic teams.
Experience working in cross-functional, globally distributed environments with product, program managers, and engineering teams.
Skilled in communicating complex AI concepts to stakeholders and delivering presentations at conferences or demos.