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Job Description
Structured overview of role & requirementsAbout This Role
Architect, design, develop, and deliver enterprise-grade AI platform capabilities and applications from prototype to production.
Build and maintain end-to-end AI solutions including frontend, backend, APIs, data pipelines, and integrations for LLM-powered agents and multi-agent workflows.
Provide technical leadership by mentoring engineers, leading architecture decisions, and establishing AI engineering best practices focused on secure, governed, and scalable agentic AI systems.
Minimum Requirements
7+ years of professional software engineering experience with end-to-end ownership of production systems.
Bachelor's degree in Computer Science, Software Engineering, or related field (or equivalent experience).
Proficient in backend development with Python and/or TypeScript/Node.js and frontend frameworks such as React or Next.js.
Experience building production-grade LLM applications, RAG architectures, and AI agent frameworks; strong API design and security expertise; familiarity with cloud platforms (AWS/Azure/GCP) and container orchestration (Docker, Kubernetes).
Ideal Candidate Profile
Experienced full-stack AI engineer with strong expertise in developing secure, scalable LLM-powered AI applications, agent frameworks, and data pipelines.
Proven ability to lead AI platform architecture and engineering teams in enterprise environments delivering governed, compliant, and production-ready AI solutions.
Collaborative technical leader skilled in mentoring, code reviews, and translating complex AI use cases into operational software platforms integrating semantic data, LLMs, and cloud infrastructure.
