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Tier-1 brand, metro location and hot GenAI role create high applicant competition.
Core GenAI and enterprise deployment skills are transferable across industries but require ML-specific experience, so medium sensitivity.
Explicit 6+ years, LLM-specific 2-3 years, Staff seniority and mandatory LangChain/Azure/vector DB skills increase strictness.
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Lead the architecture and development of scalable generative AI solutions including LLM orchestration, retrieval augmented generation, and AI agents to empower employees.
Provide hands-on technical leadership with coding and prototyping in Python and Java, integrating LLMs and frameworks like LangChain.
Drive Agile project delivery, enforce best practices, and mentor engineering teams while aligning AI innovations with business objectives and responsible AI principles.
6+ years software development experience with at least 2-3 years in AI/ML/GenAI application development.
Proficiency in Python and familiarity with Java; experience with LangChain, Hugging Face, OpenAI APIs or similar GenAI frameworks.
Experience with cloud platforms (Azure preferred), vector databases for embeddings and semantic search, and Agile/DevOps tools like Jira and Jenkins.
Bachelor's degree in Computer Science, Engineering or related field; 3+ days per week onsite in hybrid work model.
Senior technical leader experienced in end-to-end GenAI solution design and delivery with deep expertise in LLMs and retrieval augmented generation.
Hands-on coder and architect with a product-driven mindset capable of balancing rapid prototyping with scalable, secure production systems.
Skilled in cross-functional collaboration and mentorship, able to influence product roadmaps and enforce engineering best practices in an enterprise environment.