Staff Software Engineer, GitHub Intelligence (Copilot Agents)

Job description

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. How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1 This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Staff Software Engineer, GitHub Intelligence (Copilot Agents) based in United States. This is a staff-level engineering role focused on advancing the infrastructure that enables AI agents to understand and use software-development context effectively.You will help build intelligent context capabilities spanning agent memory, search, knowledge graphs, retrieval, and connected developer tools.Your work will influence how AI agents reason across code, issues, pull requests, workflows, and other development signals.You will turn ambiguous product challenges into scalable architectures, technical strategies, experiments, and production systems.The role combines deep hands-on engineering with technical leadership and close collaboration across product, research, design, and data science.You will help establish evaluation and feedback systems that improve agent quality, reliability, efficiency, and customer outcomes.Your contributions will have the potential to shape AI-assisted software development for millions of developers and organizations worldwide.