{"id":728933,"url":"https://alion.io/job/nace-software-engineer-backend","title":"Software Engineer (Backend)","company":{"id":678797,"name":"Nace.AI","domain":"nace.ai","url":"https://alion.io/company/nace-3","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":{"grade":"D","score":51,"open_postings":17,"ghost_share":0.824,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-11-02T06:13:15Z"}},"role":"Backend","role_family":"Backend","seniority":"middle","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Palo Alto, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":123000,"max_usd":242000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":1539},"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Angular","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"Docker","optional":false},{"name":"GCP","optional":false},{"name":"Go","optional":false},{"name":"Kubernetes","optional":false},{"name":"LLM","optional":false},{"name":"Multi-Agent Systems","optional":false},{"name":"Node JS","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"React.js","optional":false},{"name":"Terraform","optional":false},{"name":"Vue.js","optional":false},{"name":"Arize Phoenix","optional":true},{"name":"JavaScript","optional":true},{"name":"LangSmith","optional":true},{"name":"TypeScript","optional":true}],"status":"live","first_seen_at":"2026-03-17T19:45:40Z","employer_posted_date":"2026-03-17","last_verified_at":"2026-11-02T17:27:04Z","board_verified":true,"closed_at":null,"days_open":229,"trust":{"level":"ghost","repost_count":0,"flags":["stale","company_stale"],"days_open":229},"description":"About Us:\nAt Nace AI, we are redefining how professional services operate by delivering Sovereign Specialized Intelligence. As an applied research and product company, we equip enterprises with a comprehensive AI stack to build customized, secure intelligence tailored to their unique business needs.\nDriven by advanced Small Language Models and our dynamic metamodel framework, our flagship platforms - Nace Data Intelligence and the Nace SLM Cloud - enable true end-to-end business process automation. The result is transformative ROI: professional services firms using Nace AI are currently recovering 1,000 hours per client engagement, drastically reducing overhead and accelerating delivery.\nThe work we are doing has a meaningful impact across industries, and every hire at Nace AI plays a critical role in shaping the company’s trajectory. This is a unique opportunity to join a high conviction AI company at an early stage and directly influence its growth.\nIf building a world-class AI team from the ground up excites you, we’d love to talk.\nRole Overview:\nAs a Full Stack Software Engineer, you will be a pivotal force in developing, deploying, and maintaining the end-to-end infrastructure for our advanced AI systems. This includes designing robust backend services, building intuitive and high-performance user interfaces, and ensuring the seamless integration of LLM-based AI Agents. 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ensure high availability, cost-efficiency, and scalability for both the application layer and the underlying AI compute resources.\n\nParticipate actively in design discussions, code reviews, and cross-team collaboration to deliver high-quality, production-grade solutions across the entire stack.\n\nMinimum Qualifications:\nBachelor's degree in Computer Science, Computer Engineering, related technical discipline, or equivalent practical experience.\n\n3+ years of experience building and maintaining full-stack software infrastructure, with proven expertise in both frontend and backend development.\n\nHands-on experience building AI agents, AI agent frameworks/orchestration systems, or complex LLM-powered applications and workflows (e.g., RAG pipelines, multi-agent systems, prompt chaining architectures, or LLM orchestration frameworks).\n\nPractical knowledge of cloud infrastructure management (e.g., Docker, Kubernetes, Terraform) and CI/CD pipelines.\n\nProven expertise in designing, 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