Manager – Generative AI Engineering
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Job Description
Seeking a Manager of GenAI Engineering to lead engineers and deliver generative AI systems in a remote setting. Overseeing technical work and ensuring quality in project execution.
Responsibilities:
- Manage a team of 7-10 engineers, run delivery cycles, and drive execution quality
- Lead design and hands-on implementation of production-grade generative AI systems - agentic workflows, multi-step RAG pipelines, and LLM-powered applications integrated with enterprise data
- Actively upskill engineers on GenAI concepts, patterns, and practices through pairing, code review, and hands-on demonstration
- Own operational outcomes for production AI systems - reliability, latency, throughput, cost efficiency, and scalability targets
- Collaborate with cross-functional stakeholders to align engineering execution with the broader product data and AI strategy
Requirements:
- Bachelor's degree in Computer Science, Engineering, Data Science, or related field, or equivalent practical experience
- Proven ability to translate ambiguous stakeholder requests into well-scoped, actionable engineering work
- Strong track record designing, building, and operating complex distributed systems in enterprise production environments
- Experience integrating AI systems with enterprise data sources, internal APIs, and security controls in compliance-sensitive environments
- Demonstrated experience shipping production-grade LLM or generative AI systems - prompt and workflow design tradeoffs, model selection and routing, tool use and agent orchestration
- Experience building automated evaluation pipelines for LLM outputs, including gold set construction, model-based evaluation, prompt regression testing, retrieval quality validation, and failure mode analysis
Benefits:
- Equal Employment Opportunity
- Prolonged periods in a stationary position at a desk and working on a computer.
- Remote work options.
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