{"id":3928679,"url":"https://alion.io/job/foresight-senior-full-stack-engineer","title":"Senior Full Stack Engineer","company":{"id":2123186,"name":"Foresight","domain":"foresight.works","url":"https://alion.io/company/foresight-works","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":true,"listed_via":null,"ats_vendor":"Workable","truth_index":null},"role":"Backend","role_family":"Backend","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["New York, United States","San Francisco, United States","Montreal, Canada"],"countries":["US","CA"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":180000,"max":230000,"currency":"USD","period":"year","gross":null,"usd_annual":230000},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Amazon S3","optional":false},{"name":"AWS","optional":false},{"name":"Django","optional":false},{"name":"FastAPI","optional":false},{"name":"PostgreSQL","optional":false},{"name":"Python","optional":false},{"name":"React.js","optional":false},{"name":"SQLAlchemy","optional":false},{"name":"TypeScript","optional":false},{"name":"AI Agents","optional":true},{"name":"AWS Step Functions","optional":true},{"name":"CI/CD","optional":true},{"name":"Embeddings","optional":true},{"name":"JavaScript","optional":true},{"name":"LLM","optional":true},{"name":"pgvector","optional":true},{"name":"SOC 2","optional":true},{"name":"Terraform","optional":true}],"status":"live","first_seen_at":"2026-11-06T00:00:00Z","employer_posted_date":"2026-11-06","last_verified_at":"2026-11-07T22:39:59Z","board_verified":true,"closed_at":null,"days_open":2,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":2},"description":"About Foresight\nForesight's mission is to bring the world's critical infrastructure into service faster by better enabling teams to deliver complex capital projects.\nThe AI buildout runs on physical things: data centers, power, and the supply chains behind them. A single hyperscale campus involves an owner, a general contractor, dozens of trades, long-lead equipment suppliers, lenders and commissioning teams. Each works from its own schedule and its own spreadsheets. When a project slips, the people who could fix it usually find out last. For an AI data center, a month late can mean tens of millions in lost revenue.\nForesight is the control tower for these projects. We connect schedules, field progress and execution data across every party, forecast where delivery is heading, and help teams act before a delay becomes a missed date. On one 15-project portfolio, Foresight found a project 245 days behind, cut reporting overhead by 90%, and helped prevent more than $100M in lost revenue.\nWe work with top data-center owners, developers and general contractors across the world, including Crusoe, Applied Digital, and NTT. We raised a $25M Series A led by Macquarie Capital and are headquartered in New York.\nThe role\nWe're looking for a Senior Full Stack Engineer to help build the core platform and product of Foresight.\nYou will build the systems that will enhance the ability for efficient delivery of large scale construction projects. You will design the APIs and data models that bring Foresight's risk predictions and AI recommendations into the product, and the interfaces that make 100k-activity projects understandable at a glance. This is a hands-on role on a new team, for someone who owns features from database to browser and builds systems that are accurate, scalable and observable.\nAt Foresight, full stack means you own the whole problem. You take complex, high-stakes project data and turn it into products that help teams deliver major projects on time. This could translate to work on:\nProject intelligence: Build the interfaces and services that surface predicted delays, risk exposure and AI-recommended actions, so teams can act before problems land. \nSchedule data teams can trust: Bring in data from the scheduling tools the industry runs on, keep a reliable history of every update, and show teams clearly what changed and why. \nFrom findings to action: Build automated checks that catch problems early, and workflows that turn every finding into an owned, tracked action. \nReporting that tells the story: Create the reports, dashboards and exports that leaders and stakeholders use to understand where a project really stands. \nEnterprise-grade foundations: Build sign-in, roles and permissions, and data isolation that meet the bar of the world's largest project owners and contractors. \nWhat you'll do\nOwn features from technical design through release and beyond: measure adoption, learn and keep improving. \nWork alongside ML engineers to turn new models into production features customers rely on. \nPartner with product, design and customers to find the problems most worth solving. \nTune performance across the stack, from page load and rendering to query speed, API latency and uptime. \nRaise the bar on architecture, testing, observability and how the team ships. \nHelp shape the product and technical roadmap. \nRequirements\nYou might be a fit if you\nHave 5+ years of experience building and shipping web products, with real ownership on both frontend and backend. \nAre strong in Python on the backend (FastAPI, Django or similar) and strong TypeScript with React on the frontend. \nAre solid at relational data modeling in Postgres: schema design, indexes, query plans, migrations, and an ORM such as SQLAlchemy. \nHave experience with async work: queues, background jobs, retries, idempotency, and what happens when a worker dies halfway. \nAre hands-on with AWS (S3, RDS, a managed queue or event service, containers or serverless). \nCare about correctness in the details: money, permissions, concurrency, and multi-tenant data isolation. \nWrite tests and debug production issues from logs, metrics and traces, not guesses. \nHave clear written communication and are comfortable making pragmatic trade-offs in a small team that moves fast. \nBonus points\nYou've shipped LLM features to production: retrieval over customer data, embeddings (pgvector or a search engine), evaluation, and keeping cost in check. \nExperience with workflow orchestration for multi-step jobs (Temporal, Step Functions, Airflow or similar). \nInfrastructure as code (Terraform, CDK) and CI/CD you've set up yourself. \nYou've worked on a legacy-to-modern migration, or on products for regulated enterprise or public-sector customers (SOC 2, data residency). \nEarly-stage or founding-team experience. \nNone of these are required. If the core of this role excites you, apply.\nBenefits\nWhy join now\nReal stakes, real customers. Real stakes, real customers. You won't be building for a hypothetical buyer. Owners and contractors are building now, on deadlines measured in revenue per day. \nBlank canvas, solid ground. You get first-engineer level scope on a product that already has paying customers, real data and proven outcomes to tell. \nDefining a category.Agentic software for physical infrastructure is a new category. What you build will become the standard. \nSmall, senior team. Flat, direct, low on process. We debate openly, decide quickly and ship. \nCompensation and location\nTotal Comp: $180,000-230,000, based on experience, level, and location.\n Benefits: Health, Dental, Vision, 401(k), PTO . \n Location: New York, San Francisco, and Montreal are preferred. Occasional travel to may be required.\nForesight is an equal opportunity employer. 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