JobsSoftware Engineer, AI Native
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Software Engineer, AI Native

Meta

Location

Menlo Park, CA

Type

Full-time

Posted

4/16/2026

Compensation

$58 - $181k per year

Undergraduate Entry-Level
Undergraduate with 2+ Years of Experience
Approval 99%·Filings 6,588·New hires 3,344·
👑 Elite Sponsor
·FY 2025

Job description

Meta is looking for talented engineers to develop AI-powered products that connect billions of users globally. As an AI Native Software Engineer, you will tackle complex technical challenges, enhance existing products, and create innovative AI features across various platforms.

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.
  • Experience building maintainable and testable codebases, including API design and unit testing techniques.
  • 2+ years of programming experience in a relevant language OR a PhD + 9 months programming experience in a relevant language.
  • Experience effectively utilizing AI technologies and tools (e.g., large language models, agents, etc.) to enhance workflows.

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 and contribute to context-aware and personalized user experiences.
  • Design/Contribute to agentic workflows and leverage AI tools and agents 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.
  • Drive end-to-end execution of medium-to-large features with increasing independence.

Benefits

  • Employees at Meta are often offered comprehensive benefits, including medical/dental/vision coverage, mental-health resources, family planning support (fertility, adoption, surrogacy), and caregiving programs. Financial benefits typically include a competitive retirement plan, equity awards, life insurance, and access to financial coaching and legal support. Time-off benefits commonly feature generous PTO and holidays, unlimited sick time, various paid leaves, flexible “Global Travel Days,” and a 30-day paid break every five years.

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