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Tier-1 brand, metro location, and broad full-stack AI requirements increase candidate competition.
Highly specialized generative AI, agentic frameworks, and ML infrastructure demand strong domain-specific background.
Multiple explicit years, generative AI leadership, and specific tech/infrastructure requirements make filters strict.
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Lead and execute full-stack development of AI platform components, including multi-tenant agentic ecosystems and custom fine-tuning applications using Python, Angular, and advanced AI frameworks.
Develop and enforce strict architectural standards for platform integrations, data retrieval using advanced RAG architectures, and seamless backend-agentic logic integration with UI and enterprise APIs.
Collaborate directly with SMEs as a Forward Deployed Engineer to translate enterprise workflows into automated agent-driven code and scale AI platform impact on business use cases.
10+ years overall professional experience with 5+ years in AI/ML and at least 2+ years in Generative AI.
3+ years experience in technical leadership managing teams and delivering complex software or AI solutions.
Hands-on experience with AWS services and AI/ML infrastructure essential.
Bachelor’s or Master’s degree in Computer Science, Data Science, AI, or related field.
Experienced in building and scaling production-grade intelligent agent ecosystems with strong emphasis on architectural purity and code quality.
Proven capability to lead cross-functional collaboration involving SMEs, UI developers, and backend teams for enterprise AI deployment.
Strategic thinker comfortable balancing hands-on coding with technical leadership in high-impact AI platform environments.