Start Date
Immediate
Expiry Date
20 Nov, 26
Salary
0.0
Posted On
22 Aug, 26
Experience
0 year(s) or above
Remote Job
Yes
Telecommute
Yes
Sponsor Visa
No
Skills
Industry
Information Technology & Services
Build and enhance AI agents for Slack and Teams, integrating tools, ensuring reliability, and shipping code to production daily in a fast-paced, small team environment.The short versionYou're the person who makes the product do more things, for more customers, more reliably. You've built agents before — runtime, tools, memory, evals — and you have opinions about what makes them work. You ship to production the day you wrote the code. AI-assisted development is how you work by default, because that's how you're fastest.If you've never built an agent, this isn't the role. We're hiring people who already have the muscle and want to build the agent everyone else will try to copy.What's actually going onSomeone in Slack asks the product to reconcile their Stripe payouts against their books. It does it, live, in under a minute. The customer tells their network. Two more teams sign up that week. That's the loop. Your job is to make it happen more often, across more surfaces, more reliably.600K+ tool calls a day. Volume curve is steep. Connections to thousands of tools — Salesforce, Notion, Stripe, QuickBooks, HubSpot, Shopify, whatever customers ask for next. Each new integration unlocks a new shape of customer. Each reliability win compounds.What you'll doBuild the agent runtime. Sandboxed execution, tool orchestration, memory, the closed loop where the agent checks its own work. The layer that turns a sentence in Slack into a real action against a real API — and verifies it landed.Ship integrations. OAuth, webhooks, schema mapping, error handling. The bar is that it works on the customer's actual data on day one, not on a fixture.Run the infrastructure. Container orchestration, autoscaling, cost per task. The product stays fast and cheap because you're paying attention to it.Ship product. Features that go directly to users through Slack and Teams. You'll see people using what you built within hours.Whatever needs building. Small team, large surface. You'll work on things that aren't in this document.How you'll know it's workingYou ship to production every day and the changelog has your name on it. A feature you built is the reason a customer closed. When something breaks at 3am, you can fix it because you understand the system end to end. The founders are writing less code because you've taken over surfaces they used to own.Week one: ship something to production. Take ownership of a live surface.YouPersonally built or significantly modified an AI agent harness — you can describe the trade-offs you made and whyMade an agent reliably close the loop: tests, linters, typecheckers, verification, whatever it took to get the agent to check its own work instead of hallucinating successBuilt custom skills, CLIs, or MCP servers to make your own agentic coding faster — you don't just use the tools shipped to youAgentic coding is your daily workflow. Informed opinions about which models, harnesses, and tools to reach for and when — stress-tested across the frontier, not just settled on oneSystems thinking: hard technical trade-offs, understanding how things break at scale, good judgment about what's worth doing well vs. fastRange: agent runtime to React component to deployment script in an afternoonGenuine interest in how AI actually works — you've read papers, read other people's prompts, have opinions about evalsThis role doesn't work without agentic coding fluency. If AI-assisted development isn't already how you work, you'll be behind on day one.Why this role is differentNo layers. You work directly with both founders. Decisions get made in the room, not in a ticket.The agent is the product. You're not bolting AI onto something — you're building the thing customers came for. Every reliability win, every new tool, every memory improvement shows up in retention the next week.Volume that forces you to be good. 600K+ tool calls a day means the lazy answer breaks in production immediately.The feedback loop is hours, not quarters. Ship in the morning, customer uses it in the afternoon, you see what worked by end of day.Even better ifPrevious founder or early-stage builder · Open source contributions to AI tooling · Deep model understanding and eval infrastructure experienceTechTypeScript/React on the frontend · Python on the backend and agents · Modal for infrastructure. You don't need to know all of it coming in. You need to learn fast.How we workSmall team, high trust, low process. Ship your first week. Talk to users your first day. Everyone owns something real — not a task, a surface of the company customers depend on. You'll use the product to build the product and see the impact daily.Competitive salary · Meaningful equity · The kind of ownership that only exists at this stageBriefing NotesMission & ContextWe are sourcing for a rapidly scaling AI startup building an autonomous digital teammate that executes complex enterprise work. This is a foundational engineering role to build the core agent runtime, integrations, and infrastructure. The hire will work directly with the founders to significantly enhance the product's capabilities and reliability as the company scales.Candidate OverviewThe ideal candidate is a strong full-stack engineer based in Germany with deep proficiency in both Python and TypeScript/React. They must have demonstrable experience building complex, scalable systems (not just websites) and thrive in a high-ownership, fast-paced startup environment. A genuine, proven interest in AI, demonstrated through personal projects or heavy use of AI development tools, is non-negotiable.Green Flags
Red Flags
Visa & Work AuthorizationThis is a remote position, but candidates must be located in and have the existing right to work in Germany. The team meets in person a few times a year, so the ability to travel for these gatherings is expected. The company is not offering visa sponsorship at this time.Fill in the form, we will contact you...
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