TL;DR

Principal Software Engineer (AI): Defining the technical vision and architecture for AI developer tools at %hirify_global%, focusing on transforming developer productivity both internally and for customers worldwide. Focus on architecting cutting-edge AI-powered developer tools, building self-service platforms, and integrating LLMs at scale.

Location: Remote (Global). Compensation for United States-based employees is $232,000 – $319,000 USD. %hirify_global%'s remote-first team spans the globe with offices in Seattle and Paris, offering benefits that vary by country.

Salary: $232,000 – $319,000 USD

Company

%hirify_global% makes app development easier so developers can focus on what matters, boasting over 20 million monthly users and trusted by startups and Fortune 100s alike.

What you will do

Define the long-term technical vision and architecture for AI-powered developer tools and a self-service platform for building AI agents.
Architect and build production-ready AI agents, including code review assistants, test generators, and deployment diagnostic tools.
Design and implement foundational platform infrastructure for rapid prototyping and deployment of AI developer tools across %hirify_global%.
Establish architectural patterns, technical standards, and best practices for LLM integration, AI agent development, and production AI systems.
Lead technical strategy for platform capabilities such as deployment frameworks (ArgoCD/GitOps), observability (Grafana), security, and operational tooling.
Evaluate productization opportunities for successful internal AI tools, defining the technical architecture for new commercial offerings.

Requirements

10+ years software engineering experience with 3+ years in Staff or Principal Engineer roles.
Deep expertise in AI/ML technologies with hands-on production experience building LLM-powered applications, AI agents, or AI-assisted developer tools.
Strong understanding of LLM APIs (OpenAI, Anthropic), prompt engineering, agent orchestration frameworks, and practical AI applications in software development workflows.
Proven track record of architecting and building highly scalable distributed systems and developer-facing platforms.
Proficiency in Go (preferred), Rust, Java, or Python with strong software engineering fundamentals.
Experience designing developer tools, platform engineering systems, or internal tools that enable other teams.
Comfortable with autonomous work in distributed, remote-first teams across multiple time zones.

Nice to have

Experience with MCP (Model Context Protocol) or similar AI agent integration standards.
Background in developer productivity, DevOps, SRE, or platform engineering domains.
Contributions to open source AI tools, developer tooling, or platform engineering projects.
Experience productizing internal platforms or tools into commercial offerings.

Culture & Benefits

Remote-first culture with flexibility, designated quarterly Whaleness Days, and an end-of-year Whaleness break.
Home office setup, technology stipend ($100 net/month), and training stipend for conferences/courses.
16 weeks of paid Parental leave and a PTO plan that encourages taking time off.
Equity in a growing startup.
Medical benefits, retirement, and holidays vary by country.
Commitment to diversity and equal opportunity.