Agent Harness Engineer

🕒 July 28

🇩🇪 Germany – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

👷🏻‍♀️ Engineer

👻 Ghost score 24%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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getviktor.com

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2026

☁️ SaaS

🏢 Enterprise

🤖 Artificial Intelligence

💰 Seed on 2025-04

SaaS • Enterprise • Artificial Intelligence

getviktor. com (Viktor) is an AI "employee" that integrates into Slack and Microsoft Teams to perform real work for companies: run reports, pull and reconcile data from connected tools (Stripe, QuickBooks, GA4, HubSpot, Salesforce), automate onboarding tasks, triage support tickets, fix incidents by creating PRs, pause ad campaigns, draft messages, build and deploy web apps or dashboards, and schedule recurring checks. It connects to thousands of integrations, runs code in the cloud, remembers team preferences, and operates with approval controls and SOC 2 compliance. Viktor targets teams, SMBs, agencies and enterprises looking to automate repetitive operational, analytics, support, and growth tasks within collaboration platforms.

📋 Description

• Build the agent runtime: the loop where it plans, acts, and verifies its own work instead of declaring success it didn't earn. • Make the agent fluent with tools: composition across many integrations, recall, and the skill files that keep the right functions at hand. • Grow what the agent can do: memory it can trust, skills it writes for itself, work it runs on its own. • Make it measurably better: evals, catching regressions, and turning every failure into a fix. • Ship product: features that reach users through Slack and Teams within hours. • Whatever needs building. Small team, large surface.

🎯 Requirements

• You've personally built or significantly modified an AI agent harness, and can describe the trade-offs you made. • You've made an agent reliably close the loop: tests, linters, typecheckers, browser verification, whatever stops it hallucinating success. • You've built custom skills, commands, CLIs, or MCP servers to make your own agentic coding faster. • Agentic coding is your daily workflow, and you've stress-tested models and harnesses across the frontier. • Systems thinking. You make hard technical trade-offs and design for how things break at scale. • Speed, with the bar up. You ship today, not Thursday. • Range. Agent runtime to React component to deployment script in an afternoon. • Genuine interest in how AI works. You've read the papers and have opinions about evals.

🏖️ Benefits

• Top-of-the-market salary • The kind of ownership that only exists at this stage