Job Description
Job Description
Deep experience building LLM-based systems (retrieval, agents, workflow orchestration, API chaining)Strong grounding in Python and/or Java and one enterprise framework (Azure OpenAI, AWS Bedrock, or equivalent)Ability to architect reusable components for document intelligence, workflow automation, and copilotsFamiliarity with vector databases, embeddings, evaluation frameworks, and prompt engineering best practicesDesign and implement guardrails, safe execution patterns, and quality gatesKnowledge of cloud platforms, microservices, serverless, and DevOps practicesComfortable translating business problems into scalable AI pipelinesQualifications
Experience
6+ years software engineering, 2+ years hands-on LLM/GenAI developmentBuilding agentic automation systems or production LLM apps in enterprise contextLeading small cross-functional e...