Partner Engineering GenAI - US
We are seeking a Partner Engineer to join Meta's GenAI Product Partners team, focused on enabling strategic partners to succeed with our generative AI products and platforms. As a GenAI Product Partner Engineer, you bring in-depth experience in generative AI and associated tool stack, and will 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 relationships with partners, and identifying opportunities to grow partnerships.
Minimum Qualifications
Bachelor's degree in Computer Science, Computer Engineering, 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/C++. (at least one)
Experience with generative AI tool stack 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
Preferred Qualifications
Knowledge in one or more of the following areas: generative AI, Machine Learning, software development, data processing, programming languages, databases, networking, or operating systems
Proven skills in communication, analytical, collaboration, and problem-solving skills
Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
Responsibilities
Drive technical engagements with strategic GenAI partners to understand requirements and deliver solutions to complex problems
Design, build, and integrate end-to-end generative AI systems and launch-plan strategies to meet partner needs
Use broad range of technical and soft skills to build productive relationships with partners, and self-directed resolve complex technical and business needs
Use expertise and product insight to deliver high-quality project/integration/partner engagements
Work closely with product teams, guide workflow changes, and gain consensus from stakeholders while influencing product roadmap to meet the business needs
Build and manage working relationships with partner technical counterparts and internal cross-functional teams
Ship production level code, code reviews, and provide constructive feedback while quickly actioning feedback from code reviews conducted of your code
Create technical content, tools, and documentation to empower developers and partners
Contribute to the Meta AI developer ecosystem, including case studies, online courses, and best practices
Influence decision-making through presentation and dissemination of data-centric analyses
Bring in-depth experience in generative AI and associated tool stack, and provide consultation on domain-level projects
Mentor, share knowledge and promote collaboration, respect and fostering a team environment
Participate in interviewing and onboarding of new team members
About Meta
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today-beyond the constraints of screens, the limits of distance, and even the rules of physics.
Equal Employment Opportunity
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