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Tier-1 brand, metro location, and mid-level experience increase applicant density despite niche GenAI focus.
GenAI and agentic engineering skills are transferable across industries but require specific ML tooling and experience.
Explicit 4–7 years and mandatory GenAI/agentic technology requirements create stringent shortlist filters.
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Define and execute long-term roadmap for Agentic AI and Generative AI initiatives to drive business value.
Lead architecture and development of intelligent agent frameworks including application of LLMs, multimodal models, and fine-tuning strategies for domain-specific use cases.
Evaluate and integrate emerging GenAI/Agentic technologies such as AutoGPT, LangChain, ReAct, and DSPy.
4-7 years of work experience in relevant AI technologies.
Bachelor's degree in Engineering (B.Tech) required; M.Tech/MBA/MCA also acceptable.
Mandatory skills include GenAI/Agentic technologies (AutoGPT, LangChain, ReAct, DSPy).
Work Experience Required: 4-7 years
Experience with Agentic AI and Generative AI technologies applied in industries such as finance or consulting.
Demonstrated ability to lead AI strategy aligning it with business goals and execute technical frameworks development.
Understanding of regulatory, ethical, and societal implications of autonomous AI systems and contribution to AI open-source frameworks.