Lead multiple engineering teams to drive AI-first development, building AI agents, LLM/GenAI solutions. Manage Azure infrastructure, .NET, Python, and React development, GitHub repos and Actions pipelines. Mentor teams, set coding standards, champion AI-assisted tools, collaborate with program leaders, and foster innovation and continuous improvement.
Engineering Lead – AI & GenAI
We are seeking an experienced Engineering Lead to manage multiple software engineering teams and drive AI-first development initiatives. The ideal candidate will have strong leadership skills combined with hands-on expertise in AI Agents, LLMs, Generative AI, Azure, .NET, Python, and React.
Primary Skills
- Strong software engineering background with hands-on experience in AI technologies.
- Demonstrated expertise in implementing AI-first approaches, including creating AI agents and harnesses.
- Hands-on experience with Large Language Models (LLM) and Generative AI (GenAI).
- Proficiency in Microsoft technology stack, including Azure cloud services and .NET framework.
- Strong programming skills in Python and React.
- Experience with DevOps practices, including GitHub repositories and GitHub Actions pipelines.
- Familiarity with AI-assisted development tools such as GitHub Copilot and Factory AI.\
- Lead and mentor multiple engineering teams.
- Drive AI adoption across the SDLC, including AI agents, harnesses, and GenAI solutions.
- Collaborate with program and portfolio leaders to deliver strategic objectives.
- Establish coding standards, conduct code reviews, and ensure engineering excellence.
- Manage Azure infrastructure, GitHub repositories, and GitHub Actions pipelines.
- Champion AI-assisted development tools such as GitHub Copilot and Factory AI.
- Foster innovation through AI showcases and continuous improvement initiatives.
Key Responsibilities:
Required Skills:
- 7+ years of engineering leadership experience.
- Hands-on experience with AI Agents, LLMs, GenAI, and AI-first development.
- Strong expertise in Microsoft Azure, .NET, Python, and React.
- Experience with GitHub, GitHub Actions, and DevOps practices.
- Familiarity with GitHub Copilot and Factory AI.
- Excellent leadership, stakeholder management, and communication skills.
Similar Jobs
Information Technology • Consulting
Provide on-site consulting for a Generative AI platform, working Eastern Time hours. Collaborate with stakeholders, implement or support platform usage, and communicate effectively with teams and clients.
Artificial Intelligence • Fintech • Insurance • Marketing Tech • Software • Analytics
Handle inbound and warm insurance sales leads, consult with customers to match coverages, convert leads to policyholders, complete paid licensing and remote training, work scheduled shifts including weekends, and maintain required work-from-home technology and space.
Top Skills:
Dsl)FiberHigh-Speed Internet (CablePc
Artificial Intelligence • Big Data • Cloud • Machine Learning • Software • Business Intelligence • Data Privacy
The role involves designing cloud infrastructure, managing production Kubernetes clusters, optimizing CI/CD pipelines, enhancing developer experience, and ensuring reliable AI workloads. Candidates should have extensive experience in infrastructure and distributed systems engineering with strong coding skills and cloud expertise.
Top Skills:
AWSAzureDatadogDockerElkGCPGoGrafanaJavaKubernetesPrometheusPythonTerraform
What you need to know about the Los Angeles Tech Scene
Los Angeles is a global leader in entertainment, so it’s no surprise that many of the biggest players in streaming, digital media and game development call the city home. But the city boasts plenty of non-entertainment innovation as well, with tech companies spanning verticals like AI, fintech, e-commerce and biotech. With major universities like Caltech, UCLA, USC and the nearby UC Irvine, the city has a steady supply of top-flight tech and engineering talent — not counting the graduates flocking to Los Angeles from across the world to enjoy its beaches, culture and year-round temperate climate.
Key Facts About Los Angeles Tech
- Number of Tech Workers: 375,800; 5.5% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Snap, Netflix, SpaceX, Disney, Google
- Key Industries: Artificial intelligence, adtech, media, software, game development
- Funding Landscape: $11.6 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Strong Ventures, Fifth Wall, Upfront Ventures, Mucker Capital, Kittyhawk Ventures
- Research Centers and Universities: California Institute of Technology, UCLA, University of Southern California, UC Irvine, Pepperdine, California Institute for Immunology and Immunotherapy, Center for Quantum Science and Engineering
