{"id":2968827,"url":"https://alion.io/job/brain-co-ai-platform-engineer-2027-new-grad","title":"AI Platform Engineer, 2027 New Grad","company":{"id":2051367,"name":"Brain Co.","domain":"brain.co","url":"https://alion.io/company/brain-7","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":{"grade":"B","score":83,"open_postings":40,"ghost_share":0.2,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":96,"computed_at":"2026-10-29T05:49:05Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"junior","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["San Francisco, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":122000,"max_usd":275000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":398},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"C++","optional":false},{"name":"Go","optional":false},{"name":"gRPC","optional":false},{"name":"Java","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"Rest API","optional":false},{"name":"Rust","optional":false},{"name":"TypeScript","optional":false}],"status":"live","first_seen_at":"2026-10-01T20:21:54Z","employer_posted_date":"2026-10-01","last_verified_at":"2026-10-29T17:47:05Z","board_verified":true,"closed_at":null,"days_open":27,"trust":{"level":"ok","repost_count":0,"flags":["company_stale"],"days_open":27},"description":"Our Mission\nRebuild how the world works, to make institutions work better for the people they serve.\nAbout Brain Co.\nBrain Co. builds AI-native operating systems for large, regulated institutions. Each system is built for a specific industry, powered by agents that push real workflows forward. Underneath it all is Atlas, our proprietary platform that keeps customers in control, secure by design, and never locked into one model.\nWhy Now\nBrain Co. is entering its next phase of production deployments on a national scale with an elite team built from Palantir, Google, Meta, and Nvidia, and a growing footprint across government, insurance, health, and financial services.\nJoining now means shaping both the company and a new category of applied AI. Every project here ships to production and is expected to create measurable customer value and impact.\nYou'll work alongside exceptional peers on some of the hardest problems in applied AI. It’s the kind of work you'll still be proud of in ten years from now.\nAt Brain Co., new-grad engineers contribute to real production systems and see their work deployed at global scale.\nAbout the Role\nAs an AI Platform Engineer at Brain Co., you’ll help build the backend services and shared capabilities behind our AI products. You’ll solve technical problems, develop reliable software, and collaborate with Product and ML teams to bring AI applications to enterprise and government customers.\nThis full-time, entry-level role is designed for candidates completing a bachelor’s degree in Spring 2027. You’ll turn cutting-edge AI into systems that important institutions can depend on, taking ownership of clearly scoped projects involving APIs, distributed services, and developer tooling. You’ll work closely with experienced engineers, with support through code reviews, design discussions, and ongoing collaboration.\nWhat You’ll Work On\nDesign and build backend services and data pipelines that power Brain Co.’s AI products. Own scoped projects across implementation, testing, and maintenance, with guidance from experienced engineers.\n\nBuild tools that accelerate AI product development, including ML experiment tracking, artifact management, and automated training and evaluation pipelines.\n\nHelp build reliable systems for enterprise and government customers, with attention to testing and handling common failure cases.\n\nDesign modular, reusable components and clean APIs (REST, gRPC). Use profiling to improve application latency and throughput.\n\nPartner with engineering, Product, and ML teams to build shared platform capabilities that remove bottlenecks and reduce the time it takes to ship new AI products.\n\nYou Might Be a Great Fit If You…\nExpect to complete a bachelor’s degree in Computer Science, Engineering, Machine Learning, Data Science, or a related field in Spring 2027.\n\nHave solid foundations in data structures, algorithms, and databases, with familiarity with API design and testing.\n\nAre comfortable writing and debugging code in at least one language such as Python, Go, TypeScript, Rust, Java, or C++.\n\nHave built a backend service, API, data-intensive application, or developer tool through an internship, research, coursework, or a personal project.\n\nAre curious about how systems work under the hood and eager to learn distributed-systems concepts such as consistency, failure handling, retries, and idempotency.\n\nCare about building intuitive, 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