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Strong employer brand, mid-level role, metro location, and broad GenAI skillset increase competition.
Highly specialized GenAI/LLM engineering and enterprise AI platform expertise limits cross-industry transferability.
Explicit 5–8 years plus 3+ years GenAI and extensive mandatory tech stack enforces strict shortlisting.
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Lead design and deployment of enterprise-scale Generative AI and Agentic AI solutions including multi-agent systems and AI workflow automation platforms.
Own end-to-end AI product lifecycle from ideation through production deployment, establishing AI engineering standards and governance.
Collaborate with clients and cross-functional teams to define AI strategies, use cases, and deliver integrated cloud-native AI platforms with MLOps/LLMOps.
5+ years technology experience with minimum 3 years in Generative AI / LLM engineering.
Strong hands-on expertise with LLMs, RAG frameworks, Agentic AI, and relevant tools like LangChain, OpenAI, Azure OpenAI, Kubernetes, and Python.
Bachelor's degree in Engineering (BE/B.Tech) or MCA/MBA as educational qualifications.
Work Experience Required: Minimum 4 years explicitly stated. No notice period or location hard filters mentioned.
Experienced in leading or mentoring AI engineering teams with strong software engineering skills.
Proficient in AI product architecture and management, capable of guiding complex AI initiatives and establishing governance frameworks.
Familiarity with multimodal AI, document intelligence, enterprise search, and cloud platforms (Azure, AWS, GCP) preferred for integrated solution delivery.