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 copilots
Familiarity with vector databases, embeddings, evaluation frameworks, and prompt engineering best practices
Design and implement guardrails, safe execution patterns, and quality gates
Knowledge of cloud platforms, microservices, serverless, and DevOps practices
Comfortable translating business problems into scalable AI pipelines

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