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Job Description
Structured overview of role & requirementsAbout This Role
Own end-to-end delivery of complex AI services and Generative AI features automating or augmenting enterprise workflows, including from concept to production rollout and iteration.
Lead design and operation of multi-step agent architectures integrating with enterprise systems ensuring performance, observability, and incident response readiness.
Create reusable AI solution patterns, lead technical reviews, and mentor junior engineers to scale agentic solution delivery and maintain quality standards.
Minimum Requirements
8+ years in software engineering with ownership of production services.
3+ years building and deploying AI/ML or Generative AI solutions with measurable business impact in production.
Strong proficiency in LLM applications including prompt engineering, Retrieval-Augmented Generation (RAG), and integrating tool/function calling within agentic systems.
Experience with agent frameworks (e.g., LangChain, LlamaIndex, Semantic Kernel) and enterprise integrations including secure API design.
Ideal Candidate Profile
Accountable for end-to-end solution delivery, ensuring operability and adoption in enterprise settings.
Experienced in translating complex, ambiguous business needs into scalable, pragmatic AI architectural solutions with continuous evaluation and quality assurance.
Effective cross-functional communicator who mentors engineers and fosters reusable best practices for AI/ML agent frameworks.