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Job Description
Structured overview of role & requirementsAbout This Role
Lead architecture and delivery of enterprise-scale full stack and AI platforms, including microservices, REST APIs, and AI features like RAG and multimodal LLMs.
Own technical decisions balancing reliability, performance, and cloud cost in AI systems across multiple company initiatives.
Mentor engineers and guide contractors, collaborating with globally distributed teams to accelerate AI integration into software services driving measurable outcomes.
Minimum Requirements
Bachelor’s degree in Computer Science, Computer Engineering, or related technical field.
10+ years of experience with general purpose programming languages (Python preferred, Java, or Go) and frontend development using JavaScript/TypeScript.
Proven experience shipping production applications incorporating LLMs or AI services at scale and leading technical teams including contractors or vendors.
Strong cloud platform experience (AWS or Azure) and containerization skills (Docker, Kubernetes).
Ideal Candidate Profile
Extensive experience managing full lifecycle AI/ML projects with strong technical leadership and delivery record across multiple AI engagements.
Proficient in designing and implementing enterprise AI architectures including RAG, semantic search, and multimodal LLM features at scale.
Experienced working with global distributed teams and overseeing technical quality through code reviews and QA processes in complex cloud environments.