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Job Description
Structured overview of role & requirementsAbout This Role
Lead architecture and delivery of enterprise-scale AI/ML microservices, including RAG and multimodal LLM features.
Design and implement resilient REST APIs and agentic autonomous workflows balancing performance, reliability, and cloud cost.
Mentor engineers and manage engagements with globally distributed teams and external contractors to integrate AI into software services.
Minimum Requirements
Bachelor’s degree in computer science, computer engineering, or related technical field.
10+ years of experience in at least one general purpose programming language (Python preferred), plus JavaScript/TypeScript front-end experience.
Proven experience shipping production-scale applications with LLM or AI integration and leading technical teams across multiple AI/ML projects.
Strong cloud platform skills (AWS or Azure), advanced containerization (Docker, Kubernetes), and experience with technical oversight and code review.
Ideal Candidate Profile
Experienced technical leader with a track record of delivering multiple complex AI/ML projects involving LLMs at production scale.
Comfortable managing distributed teams and external partners while setting architectural standards for AI-assisted development.
Deep expertise in AI platform architecture, cloud-native microservices, and modern AI tools including vector databases and AI orchestration frameworks.