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Tier-1 brand and metro location increase competition, but seniority and niche LLM specialization reduce applicant density.
Role requires specialized ML/LLM, vector DB, and orchestration expertise, making cross-industry transferability low.
Explicit 10+ years, mandatory ML/LLM, cloud, and leadership experience make filters highly stringent.
Lead architecture and delivery of enterprise full stack and AI platform solutions across multiple company initiatives.
Design and ship reusable AI components, microservices, REST APIs, and build RAG and multimodal LLM features at scale.
Make end-to-end technical decisions balancing reliability, performance, and cloud cost for AI systems; mentor engineers and guide contractors.
Bachelor’s degree in Computer Science, Computer Engineering, or a related technical field.
10+ years experience with programming languages including Python (preferred), Java, or Go, plus front-end JavaScript/TypeScript experience.
Proven experience shipping production applications incorporating LLMs or AI services at scale and leading technical teams with guidance to contractors.
Strong experience with cloud platforms (AWS, GCP, or Azure) and containerization technologies like Docker and Kubernetes.
Experienced in driving multiple AI & ML projects with hands-on architectural design and system optimization.
Demonstrated ability in technical leadership, handling complex enterprise RAG architectures, semantic search, and AI orchestration frameworks.
Skilled in managing scalability challenges for AI-powered features serving large user bases (100k+ users).