Software Engineer, Infrastructure, Applied AI

Software Engineer, Infrastructure, Applied AI

London, UK

Artificial Intelligence

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Meta is seeking experienced engineers to help deliver on one of the most ambitious goals in technology: personal superintelligence for everyone. As an engineer in the Applied AI Engineering (AAI) organization, you will apply your deep domain expertise, engineering skills, and sound judgment to make our frontier LLMs highly performant on real-world tasks. You will identify gaps in current model capabilities and build the complex systems, agentic pipelines, reinforcement learning environments, and evaluations that generate high-quality training signals. Working closely with Meta Superintelligence Labs, AAI contributes to advancing Meta's frontier models and AI products.

We deliberately operate like an early-stage company: a flat, AI-native organization with light processes, wide scope, and fast decisions. We are looking for engineers with solid fundamentals in systems design, algorithms, and software engineering and AI fluency who are energized by ambiguity and by advancing Meta's frontier AI capabilities.

Software Engineer, Infrastructure, Applied AI Responsibilities

• Collaborate with cross-functional teams (product, design, operations, infrastructure) to build innovative application experiences
• Implement custom user interfaces using latest programming techniques and technologies
• Analyze and optimize code for quality, efficiency, and performance, and provide feedback to peers during code reviews
• Set direction and goals for teams, lead major initiatives, provide technical guidance and mentorship to peers, and help onboard new team members
• Architect efficient and scalable systems that drive complex applications
• Identify and resolve performance and scalability issues, and drive large efforts to reduce technical debt
• Work on a variety of coding languages and technologies
• Establish ownership of components, features, or systems with expert end-to-end understanding

Minimum Qualifications

• Experience utilizing data and analysis to explain technical problems and provide detailed feedback and solutions
• Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
• Demonstrated experience driving change within an organization and leading complex technical projects
• 8+ years of programming experience in a relevant language OR 4+ years experience with a PhD

Preferred Qualifications

• Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
• Demonstrated ability to solve ambiguous problems, and propose process and technical improvements in a dynamic, fast-moving organization
• Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
• 6+ years relevant experience building large-scale infrastructure applications or similar experience
• Experience building verifiable environments and quality controls for AI training data, including test harnesses, automated graders, contamination detection and taxonomy coverage
• Experience in programming languages such as C, C++, or Java, and scripting languages such as Python, Javascript, or Hack
• Experience improving quality through thoughtful code reviews, appropriate testing, proper rollout, monitoring, and proactive changes
• Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
• Experience designing automated pipelines that generate synthetic training data or evaluation tasks

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

Meta is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here.

Meta is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, fill out the Accommodations request form.

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