This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Principal Software Engineer, Copilot Code Review based in United States.
This is a high-impact principal engineering role focused on shaping the future of AI-assisted software development.
You will lead the technical direction of an AI-powered code review platform operating at massive production scale.
The role combines hands-on engineering with architectural ownership, experimentation, and technical strategy.
You will work at the frontier of agentic development, leveraging advanced models to improve how software is reviewed.
A major focus will be defining and measuring what high-quality AI code review looks like through sophisticated evaluation systems.
You’ll collaborate closely with engineering, product, research, and model teams while mentoring senior technical talent.
The environment is fast-moving and highly autonomous, with your decisions directly influencing how developers build software with AI.
Accountabilities:
- Lead the technical strategy, architecture, design, implementation, and evolution of AI-powered code review systems, remaining deeply hands-on with the most complex engineering challenges.
- Define how the review agent reasons, including the context it uses, models it runs, and information it carries across reviews.
- Evaluate emerging model capabilities and collaborate with research and model-development teams to translate advances in AI into stronger code review experiences.
- Establish and continuously improve the definition of high-quality AI code review through offline evaluations, online experiments, production data, and measurable outcomes.
- Own the end-to-end review experience across development environments, applications, command-line workflows, and pull requests.
- Ensure the reliability, scalability, and operational excellence of a high-throughput distributed service, including participation in an on-call rotation.
- Make complex technical and architectural trade-offs while balancing immediate delivery needs with long-term product and engineering quality.
- Mentor senior and staff engineers, influence technical direction across teams, and contribute to the evolution of engineering practices and workflows.
- Explore new approaches to agentic software development and help evolve engineering workflows to make teams more effective and productive.
Requirements:
- 11+ years of professional experience in software engineering, computer science, or a related technical discipline, with substantial experience delivering and operating production software.
- Equivalent experience may be considered through combinations of education and professional background, including relevant associate, bachelor’s, master’s, or doctoral degrees.
- Strong technical leadership experience, including ownership of architecture, complex technical decisions, and large-scale production systems.
- Extensive programming experience in one or more languages such as C, C++, C#, Java, JavaScript, Go, Ruby, Rust, or Python.
- Proven experience designing and operating scalable distributed systems, including web services, APIs, cloud infrastructure, and modern software engineering practices.
- Hands-on experience applying frontier AI/LLM models at scale, with a practical understanding of their capabilities, limitations, and production considerations.
- Experience building or operating LLM-powered or agentic products in production, or working closely with research teams to bring advanced model capabilities into real-world products.
- Experience designing evaluation frameworks that determine whether model-driven products are improving, including the ability to identify weaknesses in existing evaluation methodologies.
- Strong depth in Go, Ruby, TypeScript, or Python is highly valuable, particularly alongside experience operating distributed services in production.
- Ability to navigate ambiguity, simplify complex technical problems, make sound trade-offs, and deliver high-quality solutions in a fast-paced environment.
- Strong communication, collaboration, mentoring, and influencing skills, with the ability to work effectively across technical and non-technical disciplines.
Benefits:
- Annual base salary range of $160,200–$425,000 USD, depending on factors such as location, experience, knowledge, skills, and qualifications.
- Eligibility for an annual bonus and stock-based rewards for applicable roles.
- Potential additional incentive opportunities depending on role and compensation plan.
- Remote-first working environment within the United States.
- Competitive benefits designed to support employees’ health, wellbeing, and professional development.
- Generous learning and growth opportunities.
- Inclusive, collaborative culture focused on customer impact, continuous improvement, ownership, and innovation.
- Opportunity to work on cutting-edge AI and agentic software development technologies at significant scale.
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!
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.
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