Engineer Manager - AI

Engineer Manager - AI
Location- Irvine, California
Salary- ***K/Y
Hands-on Engineering Manager to lead AI Platform and GenAI product engineering initiatives.
Key Responsibilities • Lead delivery execution for AI Platform initiatives
• Contribute directly to AI architecture, coding, evaluations, and deployment
• Build scalable AI-powered systems and workflows
• Mentor AI engineers and drive technical excellence
• Establish AI-native SDLC standards and best practices
Required Technical Skills
• Python expertise
• LLM applications, RAG systems, and agent frameworks
• LangChain, LlamaIndex, vector databases
• AI evaluations, prompt engineering, AI observability
• MLOps and AI deployment practices
Required Leadership Skills
• 10+ years in software engineering, including 2+ years in a lead/manager role.
• AI-driven SDLC: Hands-on experience delivering production code using tools like Copilot, Claude Code, or Cursor; able to articulate workflow impact and guardrails. Coach teams on AI-driven SDLC practices (agentic coding, prompt engineering, automated testing, eval-driven quality).
• Full-stack orientation: Comfortable across frontend, backend, and data layers.
• End-to-end ownership: Proven delivery from scoping through release and retrospectives.
• Engineering excellence: Strong practices in code quality, testing, and CI/CD for production-grade delivery. Monitor and improve team health, velocity, and code quality benchmarks.
• Capture and share learnings, architectural decisions, and process improvements.
• People leadership: Experience hiring, mentoring, and providing direct feedback.
• Communication: Clear, effective collaboration across product, design, and engineering. Proactively communicate progress, risks, and decisions to VP Engineering and stakeholders
Nice to Have
• Experience in e-commerce, retail tech, or high-scale consumer platforms.
• Managing distributed/nearshore teams (US, Mexico, LATAM, Asia).
• Contributions to developer tooling, platforms, or SDLC improvements at scale.
• Exposure to MLOps or model deployment pipelines.
• Strong documentation practices (RFCs, architecture decisions, wikis).
The pay range for this role is *** - **** per annum including any bonuses or variable pay. *** also offers benefits like medical, vision, dental, life, disability insurance and paid time off (including holidays, parental leave, and sick leave, as required by law). Ask our recruiters for more details on our Benefits package. The exact offer terms will depend on the skill level, educational qualifications, experience and location of the candidate.
*** is an Equal Employment Opportunity employer. We promote and support a diverse workforce at all levels of the company. All qualified applicants will receive consideration for employment without regard to race, religion, color, sex, age, national origin, or disability. All applicants will be evaluated solely on the basis of their ability, competence, and performance of the essential functions of their positions with or without reasonable accommodations. Reasonable accommodations also are available in the hiring process for applicants with disabilities. Candidates can request a reasonable accommodation by contacting the company ADA Coordinator at