Engineering Manager

We are seeking a Manager of Generative AI Engineering to lead and build production-grade GenAI systems in a fast-growing enterprise environment. This role is a true split between hands-on engineering and people leadership, ideal for a strong technical leader who still enjoys writing code, designing systems, and shipping real solutions.

You will lead a team of 7–10 engineers while remaining deeply involved in the design, implementation, and operation of LLM-powered applications, including retrieval-augmented generation (RAG) and agentic workflows. Domain experience in ecommerce, product data, or enterprise platforms is a plus, but proven GenAI experience and leadership ability are the core requirements.

What You’ll Do

People Leadership (~60%)

• Lead, mentor, and develop engineering teams focused on generative AI solutions
• Set clear expectations, coach performance, and foster a culture of ownership and continuous improvement
• Translate business and product requests into well-scoped engineering initiatives
• Hire, onboard, and grow high-performing engineers
• Run delivery cycles including sprint planning, backlog grooming, and dependency management
• Own operational outcomes for AI systems (reliability, latency, cost, scalability)
• Communicate progress, risks, and technical tradeoffs to technical and non-technical stakeholders

Hands-On Engineering ( ~40%)

• Design and build production-grade generative AI systems
• Develop LLM-powered features including multi-step RAG pipelines and agentic workflows
• Define reusable patterns for prompt management, workflow versioning, structured outputs, and rollback strategies
• Build and maintain automated evaluation pipelines for LLM outputs (testing and regression)
• Implement AI guardrails, human-in-the-loop workflows, and schema-based validation
• Secure AI systems against data leakage, prompt injection, and unauthorized access
• Integrate AI services with enterprise data sources, internal APIs, and cloud platforms
• Continuously evaluate new models and tools, improving systems incrementally

What We’re Looking For

Required Experience

• 7–15 years of experience with a strong foundation in software engineering
• Proven experience shipping generative AI or LLM-based systems to production
• Hands-on experience with:
• LLMs, prompt and workflow design
• RAG architectures or agent-based systems
• AI evaluation, testing, and quality validation
• Experience leading or mentoring engineers (manager, tech lead, or senior IC ready to step up)
• Strong understanding of operating production systems (performance, reliability, cost)
• Ability to translate ambiguous requirements into actionable engineering work
• Experience working in enterprise or compliance-sensitive environments
• Bachelor’s degree in Computer Science, Engineering, or equivalent experience

Nice to Have

• Experience with ecommerce platforms, product data, PIM, ERP, or analytics systems
• Azure or Azure OpenAI experience
• Python frameworks such as FastAPI, asyncio, or Pydantic
• Experience with microservices, APIs, and containerized deployments (Docker)
• Familiarity with responsible AI principles and governance
• Exposure to modern frontend stacks (Node.js, Next.js, React)

This role pays between 160-170k Base Salary annually. Exact Compensation depends on experience.