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Tier-1 brand and metro location increase applicant density, but seniority and niche AI skills limit applicants.
Highly specialized ML/LLM leadership and cloud infrastructure needs limit cross-industry transferability.
Explicit 12-15 years, leadership, and mandatory AI/cloud/LLM experience make filters highly stringent.
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Lead design, development, and support of AI applications, scalable microservices, and REST APIs incorporating LAG and multimodal LLM features.
Own technical decisions end-to-end balancing reliability, performance, and cloud cost in AI systems across multiple company initiatives.
Mentor engineers, guide contractors, enforce code quality, run reviews, and drive Agile practices including testing and observability for AI features.
Bachelor’s degree in Computer Science, Computer Engineering, or related field.
12-15 years of programming experience with Python (preferred), Java, or Go plus front-end with JavaScript/TypeScript.
Proven experience shipping production AI applications using LLMs, RAG, MCPs at scale and leading technical teams including external contractors.
Strong cloud expertise (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).
Experienced technical leader comfortable making end-to-end decisions for enterprise-scale AI and microservice platforms.
Proficient in AI/ML architecture with demonstrated experience in cutting-edge AI-orchestration frameworks, vector DBs, and scaling AI for large user bases.
Hands-on on both backend and frontend development with ability to mentor across full stack teams and manage external partnerships.