Software Engineer, AI Native

Software Engineer, AI Native at Meta

Meta is seeking talented engineers to join our teams in building cutting-edge products that connect billions of people around the world. As an AI Native SWE, you will work on complex technical problems, build new AI-powered and generative AI features, and improve existing products across all platforms. Our teams are pushing the boundaries of user experience through LLMs, conversational and multi-modal AI, context-aware systems, and AI-powered automation—and we’re looking for engineers who bring an AI-first mindset, move fast through rapid iteration and experimentation, and raise the bar on quality and reliability for AI-driven experiences.

Responsibilities:

• Collaborate with cross-functional teams (product, design, operations, infrastructure) to build innovative AI-native application experiences.
• Build and integrate LLM / generative AI capabilities into product surfaces (mobile, web), including prompt engineering, structured prompting, and context management.
• Develop and maintain reusable software components for interfacing with back-end platforms, model serving/inference layers, and AI toolchains.
• Implement retrieval-augmented generation (RAG) patterns (e.g., embeddings + retrieval) and contribute to context-aware and personalized user experiences.
• Contribute to agentic workflows and AI agents (including human-in-the-loop / expert-in-the-loop designs) to automate tasks and scale impact.
• Analyze, debug, and optimize code and systems for quality, efficiency, performance, reliability, and cost.
• Establish effective quality practices for AI features, including evaluation/QA for AI outputs, monitoring, and iterative improvement via feedback loops.
• Architect efficient and scalable systems that power complex applications and AI-enabled features, identify and resolve performance and scalability issues.
• Drive end-to-end execution of medium-to-large features with increasing independence, contribute to technical direction within the team.
• Establish ownership of components, features, or systems with comprehensive end-to-end understanding.

Minimum Qualifications:

• 6+ years of programming experience in a relevant language OR a PhD + 3 years programming experience in a relevant language.
• Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
• Experience effectively utilizing AI technologies and tools (e.g., large language models, agents, etc.) to enhance workflows.
• Experience collaborating cross-functionally and contributing to technical decisions through influence, communication, and execution.
• Experience building maintainable and testable codebases, including API design and unit testing techniques.

Preferred Qualifications:

• Experience with one or more languages such as C/C++, Java, Python, JavaScript, Hack, and/or shell scripting.
• Experience with AI/ML techniques and workflows such as fine-tuning, transfer learning, few-shot/zero-shot approaches, and/or model distillation.
• Experience implementing RAG, embeddings, or knowledge-backed generation and familiarity with tokenization and transformer-based systems.
• Experience in one or more of the following: LLMs, generative AI, machine learning, recommendation systems, pattern recognition, data mining, or related fields.
• Experience designing AI agents, orchestration, and human-in-the-loop systems and treating AI as a collaborator to accelerate delivery.
• Experience with architectural patterns of large-scale software applications and improving efficiency, scalability, and stability of system resources.
• Experience improving quality through thoughtful code reviews, appropriate testing, rollout, monitoring, and proactive changes.
• Understanding of Responsible AI practices (AI safety, ethics, alignment, explainability) and building safeguards/quality controls for AI outputs.
• Experience with ML tooling/frameworks such as PyTorch, TensorFlow, and Python.
• 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.

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.

Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.

Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.

Key skills/competency

• AI Native Software Engineering
• Large Language Models LLMs
• Generative AI
• Prompt Engineering
• Retrieval-Augmented Generation RAG
• AI Agents
• Machine Learning ML
• Software Development
• System Architecture
• Cross-functional Collaboration