{"id":1649939,"url":"https://alion.io/job/axiomatic-staff-software-engineer-backend","title":"Staff Software Engineer (Backend)","company":{"id":3841554,"name":"Axiomatic","domain":"axiomatic.ai","url":"https://alion.io/company/axiomatic-3","size_band":"11-50","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"B","score":75,"open_postings":3,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-10T05:45:15Z"}},"role":"Backend","role_family":"Backend","seniority":"staff","employment_type":null,"work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":["Boston, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":162000,"max_usd":296000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":1252},"experience_years_min":10,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Auth0","optional":false},{"name":"FastAPI","optional":false},{"name":"GCP","optional":false},{"name":"Google Cloud Run","optional":false},{"name":"IAM","optional":false},{"name":"LLM","optional":false},{"name":"Python","optional":false},{"name":"SLI/SLO/SLA","optional":false},{"name":"SQL","optional":false},{"name":"SQLAlchemy","optional":false},{"name":"Alembic","optional":true},{"name":"Angular","optional":true},{"name":"Anthropic","optional":true},{"name":"Asyncio","optional":true},{"name":"CI/CD","optional":true},{"name":"Claude","optional":true},{"name":"Docker","optional":true},{"name":"GDPR","optional":true},{"name":"Gemini","optional":true},{"name":"GitHub Actions","optional":true},{"name":"GitOps","optional":true},{"name":"Go","optional":true},{"name":"JavaScript","optional":true},{"name":"LangChain","optional":true},{"name":"LangGraph","optional":true},{"name":"Mistral","optional":true},{"name":"Model Context Protocol","optional":true},{"name":"OCR","optional":true},{"name":"OpenAI","optional":true},{"name":"OpenTelemetry","optional":true},{"name":"Platform Engineering","optional":true},{"name":"PostgreSQL","optional":true},{"name":"Pydantic AI","optional":true},{"name":"Pytest","optional":true},{"name":"React.js","optional":true},{"name":"Redis","optional":true},{"name":"Rest API","optional":true},{"name":"Rust","optional":true},{"name":"Sentry","optional":true},{"name":"SOC 2","optional":true},{"name":"Terraform","optional":true},{"name":"TypeScript","optional":true},{"name":"Vertex AI","optional":true},{"name":"Vue.js","optional":true},{"name":"WebSockets","optional":true}],"status":"live","first_seen_at":"2026-06-05T14:41:19Z","employer_posted_date":"2026-07-27","last_verified_at":"2026-10-11T21:57:33Z","board_verified":true,"closed_at":null,"days_open":128,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":127},"description":"About us:\nAxiomatic 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. \nOur mission, 30×30, is to deliver a 30× improvement in the speed, accessibility, and cost of semiconductor and photonic hardware development by 2030. \nWe 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.\nPosition Overview\nAs 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. 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.\nYou 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.\nYou will:\nWrite and ship backend code daily - this is first and foremost a hands-on engineering role\nOwn the technical strategy for backend systems and AI infrastructure\nLead cross-functional initiatives spanning backend, AI, infra, and frontend\n Design and evolve foundational platforms (model routing, agent runtime, persistence, observability)\nDrive engineering excellence through RFCs, standards, and architecture reviews\nContribute to frontend development when needed, collaborating with frontend engineers on integration points\n Multiply the team through mentorship and force-multiplier code (frameworks, internal libraries, shared patterns)\nBe the technical owner of production reliability: incident response, performance, cost, security\nKey Responsibilities\n1. Technical Strategy & Architecture\nSet the 12-24 month technical roadmap for backend systems with the Head of Engineering / Lead Software Engineer\nAuthor RFCs and design documents that shape the engineering organization\nMake build-vs-buy decisions on critical platform components (model routing, vector DBs, queues, eval pipelines)\nDesign for scale, multi-tenancy, and compliance readiness\nDrive architecture reviews and ensure technical consistency across squads\n2. Platform & Infrastructure\nOwn foundational systems: conversation persistence, observability stack, and core platform services\nLead cost-optimization initiatives (caching strategies, batching, resource budgets)\nEstablish SLOs and drive incident response, postmortems, and durable fixes\nPartner with infra on the deployment story (Cloud Run, Cloud SQL, VPCs, multi-region)\nDrive security and compliance (auth, secrets, data residency, audit trails)\n3. AI Systems\nCollaborate with the AI team to integrate LLM-powered features into backend services\nDesign clean abstraction layers for model providers, enabling routing and fallback\nContribute to patterns for prompt management, evaluation, and regression testing\nStay informed on emerging AI infrastructure trends and help evaluate build-vs-buy decisions\n4. Engineering Excellence\nSet and enforce coding standards, review templates, and testing practices\nDrive measurable quality improvements (p95 latency, error budgets, test coverage, infra cost)\nIdentify systemic issues and design durable fixes, never one-off patches\nBuild internal frameworks and libraries that raise the velocity of every other engineer\n5. Leadership & Mentorship\nMentor senior engineers and help them grow toward staff\nLead technical interviews and define the engineering bar\nRepresent backend engineering in cross-functional planning\nCommunicate trade-offs clearly to product, leadership, and external stakeholders\nCoach the team on debugging, performance work, and incident response\nKey Requirements\n10+ years of backend development experience, with 2+ in a staff/principal/lead role\nDocumented technical leadership: led architecture for multi-team systems, authored RFCs adopted org-wide\nDeep Python expertise: FastAPI, async, type system, profiling, internals\nDistributed systems intuition: caching, queues, eventual consistency, idempotency, backpressure\n Production-grade Databases: query optimization, schema migrations, partitioning, connection pooling, ORMs (SQLAlchemy)\n Cloud platform mastery: GCP (Cloud Run, Cloud SQL, GCS, VPCs, IAM, Auth0) designing, not just consuming\nComfort working alongside AI workloads: basic familiarity with LLM API integration patterns; willingness to learn and support AI infrastructure as needed\nSystems thinking: incident response, observability, SLO design, capacity planning\nForce-multiplier mindset: designed and shipped frameworks/libraries adopted by other engineers\nExcellent technical communication: RFCs, design docs, architecture reviews, async writing\nNice-to-Have\nExperience with LLM integration in production (Anthropic, Google, OpenAI, Vertex AI)\nFamiliarity with agent frameworks (Pydantic AI, LangGraph, FastMCP) or similar\nFrontend experience with React, Angular, or Vue - ability to contribute to UI when needed\nScaling an AI product from 0 → 1 and 1 → 10\nAuthoring open source or internal frameworks adopted by other teams\nPerformance-critical Python (Rust/Go interop, async tuning, native extensions)\nMulti-region / multi-tenant architecture\nSecurity/compliance background (SOC2, GDPR, secret management)\nInfrastructure as code (Terraform), GitOps, platform engineering\nTech Stack\nCurrent Stack:\nBackend: Python, FastAPI, SQLAlchemy, Pydantic AI, FastMCP, Alembic\n Databases: PostgreSQL, Redis (caching)\nAPIs: REST, WebSockets, SSE, MCP\nAI/ML: Anthropic Claude, Google Gemini, OpenAI, Vertex AI Model Garden, Mistral OCR\n Cloud: Google Cloud Platform (Cloud Run, Cloud SQL, GCS, VPCs, Auth0)\nInfrastructure: Terraform, Docker\nCI/CD: GitHub Actions\nObservability: Logfire, Sentry, OpenTelemetry\nTesting: pytest, pytest-asyncio, pytest-cov\nWork model & location expectations:\nTeam work model:Hybrid \n\nPrimary location:Boston, Massachusetts, USA\n\nWhy join us? \nAt Axiomatic_AI, you will be working on technology that drives innovation in AI for scientific and engineering applications in line with our 30X30 mission. \nThis is your opportunity to contribute to the development of new AI architectures that can reason coherently and produce interpretable and verifiable solutions. Consequently, see those ideas commercialized into products that will shape the future of hardware and computing, while collaborating with a global team of engineers and AI specialists. \nWe believe in pushing the boundaries of what is possible and continuously seek to redefine the intersection of AI, with focus on formal consistency. If you're ready to take your expertise in artificial intelligence and physics to the next level, we want to hear from you!\nWorried about not meeting every qualification? Studies show that women and people of color are less likely to apply for jobs unless they meet every listed requirement. At Axiomatic-AI, we are dedicated to creating a diverse, inclusive, and authentic workplace. If this role excites you but your background doesn’t perfectly match every qualification, we still encourage you to apply. 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