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Tier-1 brand, Bangalore metro, visible ML/AI role but niche agentic AI skills limit applicant pool.
Highly specialized agentic AI, RAG and MLOps focus makes cross-industry transfers limited.
Explicit 8–10 years requirement plus specialized agentic AI and infra skills.
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Lead design and implementation of complex AI-powered enterprise solutions, focusing on autonomous and agentic architectures using frameworks like Google ADK.
Develop advanced frameworks for AI governance including evaluation, observability, and traceability to ensure robust post-production oversight.
Collaborate with product and cross-functional teams to align AI technical strategy with business goals and compliance requirements.
8–10 years of professional experience in software engineering with substantial focus on large-scale AI/ML system development and deployment.
Proficiency in Python and expertise with agentic frameworks such as Google ADK, LangChain, or AutoGen.
Strong experience designing complex, distributed systems and scalable backend APIs, including knowledge of vector databases, knowledge graphs, and Retrieval-Augmented Generation (RAG).
Bachelor's degree in Computer Science or related field required; Master's degree highly preferred.
Technical leader capable of owning full AI solution architecture with deep hands-on expertise in autonomous agents and agentic AI governance.
Experienced in collaborating cross-functionally with product, legal, compliance, and risk management teams in enterprise settings, preferably in financial services.
Skilled in implementing advanced evaluation strategies (e.g., using LangFuse) and familiar with emerging AI technologies and MLOps practices.