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Software Engineer, AI Native

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Meta

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Location:
United States , Bellevue

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

181000.00 USD / Year ▼
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Job Description:

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.

Job Responsibility:

  • 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
  • Design/Contribute to agentic workflows and leverage AI tools and 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

Requirements:

  • Currently has, or is in the process of obtaining a Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta
  • 2+ years of programming experience in a relevant language OR a PhD + 9 months programming experience in a relevant language
  • Experience building maintainable and testable codebases, including API design and unit testing techniques
  • Experience effectively utilizing AI technologies and tools (e.g., large language models, agents, etc.) to enhance workflows

Nice to have:

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

Additional Information:

Job Posted:
March 20, 2026

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