Design and integrate AI-enabled workflows directly into the engineering stack, including Git, Jira and CI/CD pipelines, to automate processes and maximize developer throughput
Consult with stakeholders to translate complex business requirements into AI-SDLC-augmented technical solutions
Articulate the trade-offs of agentic design and ensure alignment with enterprise goals
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Support the engineering deployment of AI/LLM capabilities based on business needs, such as integrating LLM APIs, building basic RAG pipelines, and embedding tool/agent capabilities into existing systems.
Help build and maintain datasets and benchmarks for evaluation/regression, track online performance, and assist with debugging and fixing issues.
Produce necessary technical documentation and communicate effectively across teams.
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