Staff Software Engineer, Copilot Experiences (AI Engineering)

TL;DR

Staff Software Engineer (AI Engineering): Shaping the future of software development by designing and building intelligent, context-aware features that integrate directly into developer workflows at global scale, focusing on AI-powered features, LLM-integrated experiences, and retrieval-augmented generation pipelines. Focus on driving technical direction for the team, collaborating with product and engineering leadership, and ensuring the health and reliability of the systems built.

Location: Remote, United States

Salary: USD $140,400.00 - USD $372,300.00 /Yr

Company

hirify.global is the world’s leading platform for agentic software development — powered by Copilot to build, scale, and deliver secure software.

What you will do

• Design, develop, test, and ship high-quality AI-powered features at scale.
• Own technical direction for your team’s area and set the bar for code quality.
• Develop and own evaluation frameworks to measure AI feature quality and drive iterative improvement.
• Provide technical leadership, mentorship, code reviews, and pairing opportunities.
• Collaborate with product management, design, and engineering leadership to define requirements.
• Drive and support a technical roadmap that aligns with product goals.

Requirements

• 9+ years' experience in software engineering, computer science, or related technical discipline with proven experience.
• Experience maintaining and delivering production software coding in languages including Go, Ruby, Rust, Python, JavaScript, C, C++, C#, Java.
• 1+ years of experience building and shipping AI/ML-powered features in production as a software engineer.

Nice to have

• Experience with LLM-based systems in production, including prompt engineering, retrieval-augmented generation (RAG), intent detection, or agentic/orchestration workflows.
• Experience building production applications in Ruby, Go, and/or JavaScript/TypeScript.
• Experience with offline and online evaluation frameworks for AI features, including building or maintaining eval pipelines.
• Experience with cloud-native development — microservices, containers (Docker), orchestration (Kubernetes), and platforms such as Azure, AWS, or GCP; Azure experience preferred.
• Proficiency with telemetry and observability tooling such as Datadog, Azure Data Explorer, or Sentry for operating AI services in production.

Culture & Benefits

• Remote-first company offering competitive pay and excellent benefits.
• Generous learning and growth opportunities.
• Diverse and inclusive environment.