Software Engineer

About Harmony

Harmony gives every employee an always-on expert for every service request, inside the tools they already use. Deployed inside Slack and Microsoft Teams, its agents draw on a context graph connecting each employee's identity, devices, applications, and history, resolving requests across IT, HR, finance, procurement, and legal automatically, before a ticket ever opens.

With 100+ prebuilt agents that deploy in days, not months, and a 70% no-touch resolution rate, Harmony removes the manual work from enterprise service without removing the humans who should own the hard problems. Built for IT and HR teams that are done waiting for their service platform to catch up with the rest of the business.

We're looking for a senior engineer who is genuinely hungry - someone who takes ownership of outcomes (not just tasks), and holds themselves to a high bar because they care, not because they're told to. You'll work directly with product managers and customers to understand hard problems, and then go build elegant, lasting solutions end-to-end.

What You’ll Do

• Lead major projects end-to-end - take full ownership of significant features and initiatives from technical design through production, coordinating across frontend, backend, and infrastructure as needed.
• Build full-stack, production-grade software - contribute across the entire stack with high craft: clean APIs, performant frontends, reliable services, and thoughtful data models.
• Collaborate deeply with Product - work closely with product managers to understand customer problems, challenge requirements constructively, and translate product goals into excellent technical outcomes.
• Design and build agentic systems - contribute to the core of what Harmony does: designing multi-step AI agents, integrating LLMs into product workflows, and pushing the frontier of what autonomous service resolution can do.
• Use AI as a force multiplier - apply AI tooling throughout your workflow: code generation, test coverage, documentation, exploration, and debugging. We expect our engineers to be significantly more productive because of how they use AI.
• Ship with operational awareness - take responsibility for what you build in production: instrument your services, monitor their behavior, and act when something's wrong.
• Stay close to customers - engage with customer feedback, support escalations, and real-world usage to ground your technical decisions in actual impact.
  
  

• 6+ years of software engineering experience, with a track record of leading and delivering complex projects in production B2B SaaS environments.
• Strong full-stack capabilities - you're comfortable owning frontend, backend & Ops.
• Solid experience building microservices-based architectures on Kubernetes and AWS, with an understanding of operational concerns (reliability, scalability, cost) not just functionality.
• A high ownership mentality.
• Strong collaboration skills: you communicate clearly with engineers and non-engineers alike, give and receive direct feedback well, and make the people around you better.
• Deeply self-directed and intellectually curious - you take initiative, navigate ambiguity, and learn fast without needing detailed instruction.
• Hands-on experience building agentic or AI-native products - LLM integration, agent orchestration, tool use, RAG, and evals.
  
  

• Active engagement with the AI/agent space beyond work: you follow the research, experiment with new models and frameworks, and form real opinions about what's useful and what isn't.
• Experience in early-stage startups where you contributed to foundational architecture and engineering culture, not just feature development.
• Comfort with the full operational picture: you've been on-call, you've debugged production incidents, and you take observability seriously as a first-class engineering concern.