Axiomaticai

Staff Software Engineer (Backend)

Boston, Massachusetts, United States · Staff+

Sponsorship not specifiedDetected 7 days ago
PythonGoRustReactVue.jsAngularFastAPIDistributed SystemsBackend DevelopmentGitSQLPostgreSQLRedisVector DatabasesGCPCloud PlatformsDockerTerraformCI/CDGitHub ActionsPlatform EngineeringRESTWebSocketsMachine Learning

About the role

  • This is a hands-on, T-shaped role with a deep backend specialization: you'll spend roughly 70% of your time writing and reviewing backend code, 20% on architecture and technical strategy, and 10% contributing to frontend work when needed.
  • This is your opportunity to contribute to the development of new AI architectures that can reason coherently and produce interpretable and verifiable solutions.
  • We believe in pushing the boundaries of what is possible and continuously seek to redefine the intersection of AI, with focus on formal consistency.

Responsibilities

  • Set the 12-24 month technical roadmap for backend systems with the Head of Engineering / Lead Software Engineer
  • Author RFCs and design documents that shape the engineering organization
  • Make build-vs-buy decisions on critical platform components (model routing, vector DBs, queues, eval pipelines)
  • Design for scale, multi-tenancy, and compliance readiness
  • Drive architecture reviews and ensure technical consistency across squads
  • Own foundational systems: conversation persistence, observability stack, and core platform services
  • Lead cost-optimization initiatives (caching strategies, batching, resource budgets)
  • Establish SLOs and drive incident response, postmortems, and durable fixes
  • Partner with infra on the deployment story (Cloud Run, Cloud SQL, VPCs, multi-region)
  • Drive security and compliance (auth, secrets, data residency, audit trails)

Requirements

  • If you're ready to take your expertise in artificial intelligence and physics to the next level, we want to hear from you!

Nice to have

  • Experience with LLM integration in production (Anthropic, Google, OpenAI, Vertex AI)
  • Familiarity with agent frameworks (Pydantic AI, LangGraph, FastMCP) or similar
  • Frontend experience with React, Angular, or Vue. ability to contribute to UI when needed
  • Scaling an AI product from 0 → 1 and 1 → 10
  • Authoring open source or internal frameworks adopted by other teams
  • Performance-critical Python (Rust/Go interop, async tuning, native extensions)
  • Multi-region / multi-tenant architecture
  • Security/compliance background (SOC2, GDPR, secret management)

Skills

  • Current Stack:
  • Backend: Python, FastAPI, SQLAlchemy, Pydantic AI, FastMCP, Alembic
  • Databases: PostgreSQL, Redis (caching)
  • APIs: REST, WebSockets, SSE, MCP
  • AI/ML: Anthropic Claude, Google Gemini, OpenAI, Vertex AI Model Garden, Mistral OCR
  • Cloud: Google Cloud Platform (Cloud Run, Cloud SQL, GCS, VPCs, Auth0)
  • Infrastructure: Terraform, Docker
  • CI/CD: GitHub Actions
  • Observability: Logfire, Sentry, OpenTelemetry
  • Testing: pytest, pytest-asyncio, pytest-cov
  • Work model & location expectations:
  • Team work model:

Benefits

  • Drive measurable quality improvements (p95 latency, error budgets, test coverage, infra cost)

Company info

  • Axiomatic AI is building a new class of AI systems designed to reason with the rigor of the scientific method. By combining deep learning with formal logic and physics-based modeling, we create verifiable, interpretable AI systems that collaborate with and support human researchers in high-stakes scientific and engineering workflows.
  • Our mission, 30×30, is to deliver a 30× improvement in the speed, accessibility, and cost of semiconductor and photonic hardware development by 2030.
  • We aim to revolutionize hardware design and simulation in these industries and are building a team of highly motivated professionals to bring these innovations from research into commercial products.
  • Position Overview
  • As Staff Software Engineer (Backend), you will set the technical direction for our backend platform and drive the systems that power an AI-native product at scale.
  • Axiomatic AI is building a new class of AI systems designed to reason with the rigor of the scientific method.
  • By combining deep learning with formal logic and physics-based modeling, we create verifiable, interpretable AI systems that collaborate with and support human researchers in high-stakes scientific and engineering workflows.
  • You operate at the intersection of backend engineering, AI infrastructure, and platform reliability, making the foundational decisions that let every other engineer ship faster, safer, and cheaper.
  • Write and ship backend code daily - this is first and foremost a hands-on engineering role
  • Own the technical strategy for backend systems and AI infrastructure
  • Lead cross-functional initiatives spanning backend, AI, infra, and frontend
  • Design and evolve foundational platforms (model routing, agent runtime, persistence, observability)
  • Drive engineering excellence through RFCs, standards, and architecture reviews
  • Contribute to frontend development when needed, collaborating with frontend engineers on integration points
  • Multiply the team through mentorship and force-multiplier code (frameworks, internal libraries, shared patterns)
  • Be the technical owner of production reliability: incident response, performance, cost, security
  • Technical Strategy & Architecture
  • Platform & Infrastructure
  • AI Systems
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This listing is sourced directly from Axiomaticai's careers page and normalized into a canonical job model.