Staff Software Engineer, GitHub Intelligence (Copilot Agents)

Accountabilities:

• • Provide technical leadership for systems that enable AI agents to acquire, interpret, retain, and apply relevant software-development context.
  • Design, prototype, implement, test, deploy, and operate scalable production systems supporting agent experiences and developer workflows.
  • Build platform capabilities and APIs covering context retrieval, sessions, memory, agent customization, evaluation, and feedback-driven improvement.
  • Translate ambiguous customer and product opportunities into clear technical strategies, architecture proposals, experiments, and executable roadmaps.
  • Develop approaches that improve how software is built with AI agents and help engineering teams work more effectively.
  • Partner with product managers, designers, researchers, data scientists, and engineers to deliver cohesive end-to-end experiences.
  • Establish evaluation methodologies, telemetry, and learning loops to measure agent quality, efficiency, reliability, and customer impact.
  • Make informed trade-offs across performance, latency, cost, privacy, security, reliability, and developer experience.
  • Use debugging tools, operational data, and structured experimentation to identify bottlenecks and continuously improve system performance and maintainability.
  • Own the reliability and quality of systems, including participation in first-responder on-call rotations and incident management where applicable.
  • Provide mentorship through design and code reviews, technical guidance, pairing, and knowledge sharing.
  • Influence engineering practices and architectural decisions across organizational boundaries while promoting operational and executional excellence.
  • Foster an inclusive, collaborative environment where engineers have clear ownership and are empowered to deliver high-quality work.

  Requirements:

  • 9+ years of professional experience in software engineering, computer science, or a related technical discipline, with demonstrated experience building and maintaining production software.
  • Equivalent experience may include an associate degree with 8+ years of relevant experience, a bachelor’s degree with 7+ years, a master’s degree with 5+ years, or a doctorate with 3+ years of relevant experience.
  • Strong production programming experience in one or more languages such as C, C++, C#, Java, JavaScript, Go, Ruby, Rust, Python, or TypeScript.
  • Experience with information retrieval, context retrieval, knowledge graphs, semantic systems, personalization, persistent knowledge, or memory systems is highly valuable.
  • Experience designing or integrating production AI-agent or generative-AI capabilities, including model orchestration, retrieval-augmented generation, tool use, evaluation, or feedback loops.
  • Strong ability to define technical direction and influence architecture across multiple teams or organizations.
  • Demonstrated product and customer judgment, with the ability to turn ambiguous problems into reliable, maintainable, and scalable technical solutions.
  • Experience with experimentation, telemetry, offline evaluation, and data-informed product development.
  • Understanding of privacy, permissions, security, provenance, and enterprise governance requirements for large-scale systems.
  • Strong communication and collaboration skills, with the ability to explain complex technical concepts and align diverse stakeholders.
  • Comfortable combining rapid experimentation with operational rigor and taking ownership of complex technical outcomes.
  • Demonstrated ability to mentor engineers and influence engineering culture, architecture, and development practices.
  • A growth mindset, strong problem-solving ability, and willingness to work at the forefront of AI-powered software development.

  Benefits:

  • Competitive base salary range of USD $140,400–$372,300 per year, depending on location, experience, knowledge, skills, and qualifications.
  • Eligibility for additional rewards, including annual bonuses and stock, based on role and individual impact.
  • Remote-first work environment within the United States.
  • Competitive benefits designed to support employees across different stages of life and career.
  • Generous learning and professional development opportunities.
  • Opportunities to work on cutting-edge AI and agentic software development technologies.
  • Collaborative environment with strong emphasis on mentorship, growth, and technical leadership.
  • Inclusive workplace committed to diversity, equity, and belonging.
  • Workplace accommodations available to support candidates and employees with disabilities.
  • Opportunity to influence products and technologies used by millions of developers and organizations globally.