Partner Engineer, Generative AI Integration and Distribution

We are seeking a Partner Engineer to join Meta’s GenAI Integration and Distribution team, focused on enabling strategic partners to succeed with our generative AI products and platforms. As a GenAI Partner Engineer, you will be a subject matter expert on generative AI and our tool stack, and work closely with external partners to understand their technical requirements, design and ship solutions, and ensure seamless integration with our products.

You will be responsible for driving technical engagements, inventing new generative AI assets, building strong relationships with partners, and identifying opportunities to grow partnerships.

Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience

Bachelor's degree in Computer Science, Computer Engineering, a relevant technical field, or equivalent practical experience

• 5+ years of experience in one or more of the following areas:
  Software Engineering, Artificial Intelligence, Machine Learning, or a related field
• Development experience in languages like Python, Java, Go, Rust, C, and C++. (at least one)
• Experience with generative AI tool stacks including LLMs such as LLaMA, GPT, Claude, etc
• Experience working with external partners, customers, or stakeholders to understand their technical requirements and deliver solutions
• Experience with cloud-based technologies, APIs, and data integration
• Project management experience
• Experience communicating technical concepts to both technical and non-technical stakeholders, and experience analyzing data to inform decisions and solve complex problems
• Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
• Knowledge in one or more of the following areas: generative AI, Machine Learning, software development, data processing, programming languages, databases, networking, or operating systems
• Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
• Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)