<![CDATA[Prosum: jobboards]]> https://JOBS.PROSUM.COM/ en-us <![CDATA[Manager of Generative AI Engineering]]> Manager, Generative AI Engineering
Location: Remote (U.S.)
Salary Range: $120k to $170k 
About the Role
We are looking for a Manager of Generative AI Engineering to lead a high-performing team while remaining deeply hands-on in building production-grade AI systems. This is a hybrid leadership role (~50/50 split) combining technical execution with people management. You’ll play a critical role in shaping our AI capabilities, delivering scalable solutions, and fostering engineering excellence across the team.
What You’ll Do
  • Lead and manage a team of ~7–10 engineers, driving performance, growth, and delivery quality
  • Contribute directly to the design and development of generative AI systems, including agentic workflows, multi-step RAG pipelines, and LLM-powered applications
  • Translate stakeholder needs into well-defined engineering work with clear scope, tradeoffs, and acceptance criteria
  • Own delivery execution, including sprint planning, backlog management, and removing blockers
  • Coach and mentor engineers through hands-on support, pairing, and code reviews
  • Ensure production system performance across reliability, scalability, latency, and cost efficiency
  • Partner with product, data, and platform teams to align engineering efforts with broader AI strategy
  • Communicate technical concepts, risks, and progress to both technical and non-technical stakeholders
  • Develop reusable engineering patterns for prompt management, orchestration, structured outputs, and workflow versioning
  • Implement evaluation frameworks for LLM outputs, including regression testing and failure analysis
  • Establish safeguards such as human-in-the-loop processes, schema validation, and output controls
  • Ensure AI systems are secure against prompt injection, data leakage, and unauthorized access
  • Continuously evaluate emerging AI tools, models, and architectures to improve system performance
  • Foster a fast-paced, iterative development culture with continuous feedback and improvement
Required Qualifications
  • Proven experience delivering production LLM or generative AI systems
  • Strong expertise in model selection, prompt design, orchestration, and system tradeoffs
  • Experience building evaluation pipelines and quality frameworks for AI outputs
  • Solid background in distributed systems and production software engineering
  • Demonstrated progression into technical leadership (engineering management or senior IC roles)
  • Experience mentoring engineers and raising technical standards across teams
  • Ability to break down ambiguous problems into structured, executable solutions
  • Experience integrating AI systems with enterprise data, APIs, and security requirements
  • Bachelor’s degree in a technical field or equivalent practical experience
Preferred Qualifications
  • Experience in domains such as product data, ERP, ecommerce, or analytics platforms
  • Familiarity with modern data architectures and pipeline patterns
  • Experience with agent-based systems and advanced RAG implementations
  • Experience with cloud-native systems, APIs, and event-driven architectures
  • Exposure to responsible AI practices and governance frameworks
  • Experience with common AI development tools and frameworks (e.g., Python-based services, containerization, APIs)
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