Preventai AB jobb

We are looking for an experienced AI Backend Engineer to build the core intelligence layer of a fast-scaling AI company backed by NVIDIA, Microsoft, and AWS. About Antrino Antrino Labs is building the platform that makes every square meter intelligent. The physical world runs on processes nobody can actually see. Goods move, machines idle, space goes unused, and decisions about all of it are based on samples, guesses, and reports written after the fact. Antrino lets any organization deploy vision intelligence into a physical space and get back what is actually happening there, as structured, real-time information it can act on. Not a research project or a custom integration, but a platform where you describe what matters and deploy it. We have grown from 6 people to a team of 28 in less than a year, closed our Seed round, announced together with Dagens Industri, and are registered with Inspektionen för strategiska produkter (ISP), the Swedish authority for strategic and dual-use products. Everything we build follows Privacy by Design. The role You will build the services that turn a customer's intent into working intelligence. When a customer builds something in Studio, our composition canvas, that graph has to become a running system: a plan that decides which models to call, in what order, gated by cost and confidence, and that produces events and evidence a customer can trust. You will work on the compiler that turns the graph into an execution plan, the runtime that executes it, and the Python and TypeScript services that detection, classification, and measurement run through. You will also work on our Agent, which interviews customers, proposes and edits these graphs, and deploys them with confirmation. Getting an LLM to reliably manipulate a structured graph, validate it, and explain its reasoning is a real engineering problem, not a prompting exercise. The role sits between the team building our first-party detection models and the engineers building the product interface. It is backend systems engineering for a product whose core logic is built out of AI calls. What you will work on Backend services for detection, classification, and measurement, largely in Python with FastAPI The compiler that turns a Studio graph into an execution plan, and the runtime that deploys and runs it Routing logic that decides which model handles which work, including cost gating where a cheap model decides when an expensive one runs The Agent's interview, graph-editing, and deployment flows that turn natural language into a working pipeline Integrating our first-party detection models, and frontier model APIs where they do something ours do not yet, behind one clean interface Turning raw model output into structured, auditable events and evidence an operator can trust APIs and data models for streams, behaviors, runs, and events in PostgreSQL with row-level security Tests and evaluation harnesses for logic that includes non-deterministic model calls Debugging production issues that span a customer request, our orchestration, and the model call underneath Our stack You do not need experience with all of this, but you should recognize most of it and be able to argue about it. Backend: Python, FastAPI, TypeScript, Node.jsData: PostgreSQL through Supabase, with row-level security, Streaming: RTSP ingestion, RTSP→HLS conversion, live and archive pipelines Infrastructure: Azure, GitHub Actions, on-site compute reached over Tailscale Who we are looking for Substantial backend experience on production systems, ideally where an LLM or ML model was part of the core logic rather than a bolted-on feature Strong Python, and comfort in TypeScript or Node.js Real experience designing APIs, data models, and service boundaries, including PostgreSQL Experience building with LLM APIs beyond a chat wrapper: tool use, structured output, agentic flows, or a model as one step in a larger pipeline An understanding of how to test systems with non-deterministic components Experience with real-time or streaming data is a strong advantage Excellent written and spoken English. Swedish is a plus, not a requirement You can reason about a graph or compiler-shaped problem even if you have never built a compiler. You make decisions with incomplete information, take responsibility for the outcome, and say so clearly when something you built was wrong. Life at Antrino You will join a team of driven, ambitious people who thrive at a fast pace and enjoy working together. We go to AI events, host our own, and end plenty of weeks with an afterwork. You will work closely with our engineers in Stockholm and our growing team in Bangalore. What we offer Direct access to the founders, the engineering team, and customers Real ownership of a core layer of the platform rather than delegated tickets Potential participation in our stock option programme after the probationary period Hardware of your choice AI events, afterworks, team activities, and travel when the business requires it Occupational pension, insurance, and friskvårdsbidrag Process Introductory conversation about your background and the role Technical conversation about systems you have built and why you made the decisions you made. No whiteboard algorithm puzzles Working session with the engineering team on a real problem from our stack Conversation with the founders about options and terms We review applications continuously. References may be requested at the final stage. Apply with your CV and, if you have one, a link to something you have built. A repository, a shipped product, or a short note about a system you are proud of tells us more than a cover letter

We are looking for an ambitious, commercially minded Finance Lead to join a fast-scaling AI company backed by NVIDIA, Microsoft, and AWS, and to grow with it. About Antrino Antrino Labs is building the platform that makes every square meter intelligent. The physical world runs on processes nobody can actually see. Goods move, machines idle, space goes unused, and decisions about all of it are based on samples, guesses, and reports written after the fact. Antrino lets any organization deploy vision intelligence into a physical space and get back what is actually happening there, as structured, real-time information it can act on. We have grown from 6 people to a team of 28 in less than a year, closed our Seed round, announced together with Dagens Industri, and are registered with Inspektionen för strategiska produkter (ISP). Everything we build follows Privacy by Design. The role This is not a traditional accounting position. Half the job is making the financial foundation work exceptionally well: payroll, bookkeeping, tax, payments, reporting, and administration, together with our founders and external advisers. The other half is commercial: working with the founders on pricing, business models, cost structures, and where the company puts its money. One day you might be running payroll and closing the month. The next, you could be modeling the economics of deploying our platform across hundreds of customer sites, finding a European innovation grant, or helping the CEO evaluate a new commercial opportunity. What you will work on • Bookkeeping, reconciliations, and monthly and annual closing in Fortnox. • Payroll, benefits, reimbursements, VAT, and tax, together with our auditors and banks. • Invoicing, supplier payments, accounts payable and receivable, and corporate cards (Mynt). • Filings with Bolagsverket and Skatteverket, board materials, minutes, and shareholder documentation. • Budgets, forecasts, cash flow and runway models, and reporting for leadership, the board, and investors. • Unit economics across cloud, AI inference, hardware, and deployment, and the margins they produce. • Grants and non-dilutive funding from Swedish and European programmes. • Replacing repetitive finance work with AI and modern software, so the function scales without its overhead growing at the same rate. Who we are looking for You are early in your career, with a strong financial foundation and an appetite for far more responsibility than you have today. You might be at a Big Four or mid-sized audit firm, an accounting agency, or in finance operations at a growing company. • Around 2–4 years in accounting, auditing, or financial operations. • Solid command of Swedish bookkeeping, payroll, and compliance, and hands-on experience with Fortnox or similar. • Strong analytical skills and a real interest in modeling and commercial analysis. • Excellent Swedish and English, written and spoken. You take responsibility for the outcome, not just the task. You know payroll and tax have to be right every time while almost everything else moves fast, and you can hold both. You do not wait to be asked before fixing a process or chasing an opportunity. It is a plus if you have worked with startups or venture-backed companies, understand SaaS metrics and unit economics, or have applied for funding through Vinnova, Almi, or EU programmes. You do not need all of this. We care more about judgment and how fast you learn than about years on your CV. Life at Antrino You will join a team of driven, ambitious people who thrive at a fast pace and enjoy working together. We go to AI events, host our own, and end plenty of weeks with an afterwork. Things change quickly here, and everyone's work is visible in what the company becomes. What we offer • Direct work with the CEO and board members on financial and commercial decisions. • Exposure to fundraising, investor relations, and international expansion. • Potential participation in our stock option programme after the probationary period. • Freedom to improve systems, challenge processes, and bring AI into finance work. • AI events, afterworks, team activities, and travel when the business requires it. • Occupational pension, insurance, and friskvårdsbidrag. Process 1. Introductory conversation about your background and ambitions. 2. Finance and accounting conversation about your hands-on experience. 3. Practical working session on a realistic scenario in operations, forecasting, or a commercial decision. We care how you think. 4. Conversation with the founders about options and terms. We review applications continuously. References may be requested at the final stage. Apply with your CV and a short note on why you want to move beyond traditional accounting into helping build a technology company.