Full Stack Engineer

Full Stack Engineer

Axiarete AI is an agentic IT platform company. We give CIOs and application leaders live, AI-driven intelligence over their enterprise application portfolios—and a way to act on it. Our Technology Intelligence Fabric maps what an enterprise actually runs, our agents reason over that context graph, and AxiareteForge turns modernization from a multi-year consulting slog into AI-augmented engineering.

The Work

This is a full-stack seat with a twist: you build the product and you deploy it inside some of the largest IT estates in the world. One week you’re shipping platform features (agent workflows, portfolio dashboards, the context graph that powers both). The next you’re on-site or in working sessions with Fortune 100 architecture teams—wiring Axiarete into their identity, ITSM, CMDB, and cloud/on-prem reality—then coming back to fix what you learned at the product level.

You’ll own problems end to end, from messy enterprise requirements to working software running in customer environments. The engineers who thrive here stay close to the customer and refuse to hand off the last mile.

• Build and ship product features across the stack: front-end experiences, APIs, data pipelines, and the agentic workflows behind them
• Integrate Axiarete into enterprise environments (identity, ITSM, CMDBs, cloud and on-prem estates) and make it work in the real world
• Turn field learnings into platform improvements, so each deployment makes the product stronger
• Work directly with customer architects and application leaders, and represent engineering in those rooms
• Help set the standards for how a small team ships fast into environments that demand security and reliability

What You’ll Need

• You’ve shipped production software with real depth on both front end and back end
• You’ve built for—or integrated into—enterprise environments with constraints like SSO/SAML, RBAC, multi-tenancy, and audit/compliance needs
• You’re comfortable leading technical working sessions with enterprise teams and holding the room
• You have strong product instincts: you can translate ambiguous requirements into working software without waiting for a perfect spec
• You’re based within commuting distance of Fremont, CA (in-office, 5 days a week), with occasional time on-site at customer locations when needed

Even Better If

• You’ve worked in forward-deployed, solutions-engineering, or professional-services-adjacent engineering roles
• You’ve built with agentic AI systems, LLM applications, or knowledge/context graphs
• You’ve been early at a startup and know how to build without a playbook

Who Thrives Here

• You like being close to the customer and treat “what broke in the field” as product feedback, not a handoff
• You can move from ambiguity to implementation without needing everything spelled out first
• You’re comfortable representing engineering in high-stakes enterprise conversations—clear, direct, and collaborative
• You enjoy building standards for shipping fast while still respecting security and reliability constraints

The Team

You’ll work with a small engineering team that ships platform capabilities and then learns from real enterprise deployments. You’ll collaborate with customer-facing stakeholders and enterprise architecture teams, and you’ll be expected to connect what you build to what customers actually need. The work is hands-on, and the feedback loop between deployment and product is the point.

Compensation, Logistics, and Benefits

This is a full-time role paying $180,000–$200,000 base + meaningful equity. It’s in-office in Fremont, CA (5 days a week), with some time on-site at customer locations when deployments require it.

Benefits include:

• Health insurance
• Dental insurance
• Vision insurance
• Paid time off
• Equity (meaningful)

Non-Traditional Backgrounds

If you’ve built and shipped full-stack systems in any environment—startup or enterprise—and you’ve also integrated into complex customer constraints, we want to hear from you.

How to Apply

Interested? You’ll start with a conversation with Navii, the hiring team’s AI—it's a chance for us to learn about you beyond your resume.