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Strong employer brand, metro location, and specialized AI skills create moderate candidate competition density.
Highly specialized generative AI, LLM fine-tuning, and vector/graph integrations require deep ML/AI domain experience.
Multiple explicit years requirements and specific generative AI, leadership, and AWS production mandates increase filter strictness.
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Lead development and scaling of multi-tenant agentic AI ecosystems and full-stack platform components using Python and Angular.
Set technical strategy and enforce strict architectural standards including Model Context Protocol (MCP) server design and integration patterns.
Collaborate with SMEs to translate enterprise workflows into automated, agent-driven backend logic integrated with UI and APIs.
10+ years total work experience; 5+ years in AI/ML with at least 2+ years in Generative AI.
3+ years experience in technical leadership managing teams and delivering AI solutions.
Experience with AWS services and AI/ML infrastructure.
Bachelor's or Master's degree in Computer Science, Data Science, AI, or related field.
Experienced full-stack engineer capable of hands-on coding and technical leadership in AI platform development.
Deep expertise in agentic AI frameworks, multi-tenant architectures, and advanced data retrieval using graph/vector databases.
Able to bridge business domain knowledge with technical implementation, working directly with SMEs and cross-functional teams.