Backend Engineer — AI & Data Platform, LLM-Powered

Axiamatic

Menlo Park (CA)

Hybrid

USD 150,000 - 190,000

Full time

14 days+

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Job summary

Axiamatic, based in Menlo Park, CA, is shaping an agentic platform to de-risk complex enterprise transformation programs. We build an orchestration layer atop frontier LLMs and turn messy program data into structured knowledge used by agents.

We’re a Series A startup backed by top Silicon Valley VCs, with a tight-knit team focused on reliable, scalable backend systems that ship. Hybrid work is available, with three days weekly in the Menlo Park office to collaborate closely with product and

Qualifications

BS/MS/PhD in Computer Science or related field.
2–4 years building backend systems in production, AI/data-intensive products preferred.
Strong Python and backend fundamentals: API design, concurrency, distributed services, testing, production debugging.

Responsibilities

Shape architecture and engineering practices for the agent-orchestration layer on frontier LLMs.
Turn heterogeneous program data into structured, queryable knowledge for agents.
Build reliable, performant, observable, and cost-efficient services across workloads.
Own backend features end to end from design through deployment and operation.
Collaborate with product management and customers to decide what’s worth building and how to build it.
Review code, write tests, and share responsibility for production.