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Tier-1 brand and Bangalore location with specialized GenAI skills creates moderate competition.
Strong ML/LLM focus increases domain specificity but skills remain transferable across industries.
Mandatory LLM, AWS Bedrock/SageMaker, fine-tuning and prompt engineering skills increase filter rigor.
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Own end-to-end product lifecycle for Generative AI, Agentic AI, and AI/ML solutions including design, build, and deployment.
Lead design and implementation of LLM-based use cases, GenAI applications, and AI-powered automation using AWS ML services like Bedrock and SageMaker.
Collaborate with product managers and engineers to integrate AI solutions into business workflows and manage stakeholder relationships.
Bachelor's degree in Computer Science, Information Technology, or Engineering.
Strong proficiency in Python and frameworks related to Generative AI such as LangChain, LangGraph, CrewAI, Langfuse.
Hands-on experience with AWS ML ecosystem (Bedrock, SageMaker, Lambda, API Gateway).
Work Experience Required: Not explicitly mentioned in the JD; Location: Bengaluru, India.
Experienced in leading mid-size technical teams with mentoring capabilities for junior developers.
Deep understanding of AI agents, Generative AI, LLMs, NLP, Conversational AI, and prompt engineering.
Ability to bridge business and technology teams, translating business needs into scalable AI/ML solutions with strong stakeholder management skills.