We're hiring AI Engineers who want to build the infrastructure behind autonomous AI agents at scale. You'll work across the full stack — from the agent runtime and sandbox orchestration to the integrations layer and the product surface in Slack and Teams.
This is not a "maintain the monolith" role. You'll ship features end-to-end, make architectural decisions with real consequences, and see your work in production the same day. The pace is high, the team is small, and every engineer has an outsized impact.
Agent runtime — sandboxed execution, tool orchestration, memory systems
Integrations — Slack, Teams, and 50+ third-party tools (APIs, OAuth, webhooks)
Infrastructure — container orchestration, scaling, cost optimization
Product — features that ship directly to users through the conversational interface
Whatever needs building. The team is small. The surface area is large.
Agentic coding. You're fully bought into AI-assisted development — using agents, parallelized workflows, and whatever tools make you fastest. This is how we work.
Systems thinking. Strong system design judgment. You can make hard technical trade-offs and own them. You understand how things break at scale.
Speed without compromise. You know how to build things fast while keeping the quality bar high. No enterprise engineering. No three-week review cycles. Ship today, not Thursday.
AI engineering experience — agents, harnesses, deep model understanding.
Previous founder or early-stage builder. You've worn every hat and liked it.
Backend engineering, ML/AI engineering, fullstack builder, or founder who codes. Verticals matter less than velocity.
Small team, high trust, low process. Slack is our operating system (we eat our own cooking).
Agentic coding is the default. We use Viktor internally to build Viktor.
Decisions are made by owners, not committees. If you can ship it today, ship it today.
We're in wartime. The window between product-market fit and category dominance is now. Every hire, every feature, every decision matters.
TypeScript/React (frontend), Python (backend/agents), Modal (infrastructure). You don't need to know all of it coming in — you need to learn fast.
Competitive salary + meaningful equity. We're early enough that the equity matters and growing fast enough that you'll see it.
Send us your strongest signal. A GitHub profile, a side project, a demo, a one-paragraph explanation of why you're fast — whatever makes the case better than a resume alone.
If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.
HPE seeks a hands-on Software Engineer to develop and execute QA/test strategies, automate test suites, and collaborate across teams to ensure reliable edge-to-cloud software and firmware.
Lead application and cloud security for a fast-growing AI EdTech platform, embedding with engineering teams to build secure-by-default systems and developer-friendly security workflows.
Point72 is hiring a Machine Learning Infrastructure Engineer to build and operate scalable GenAI infrastructure that accelerates model development and production across cloud and on-prem environments.
Wellmark is hiring a Software Engineer to design and build data-focused integrations and pipelines that support HEDIS and quality measurement in a regulated healthcare environment.
Senior Software Engineer, Data Platform to own and scale Chime’s core data infrastructure—ETL/ELT frameworks, streaming pipelines, governance, and observability—across batch and streaming domains.
Fonzi AI seeks a backend-leaning Senior Full Stack Engineer to build core TypeScript/Node.js systems and Next.js experiences that power a fast-growing AI recruiting marketplace.
Lead the architecture, development, and stabilization of Cardinal Health's cloud-native eCommerce platforms while guiding distributed engineering teams and driving modernization efforts.
Work remotely as a Front-End Application Developer building accessible, scalable React/Angular applications for environmental data platforms while contributing across the full stack.
Contribute to Isaac Lab as a Software Engineering Intern focused on building scalable simulation, perception-in-the-loop RL, and sim-to-real capabilities for robot learning at NVIDIA.
Lithic seeks a Senior Software Engineer, Data Platform to build production Python backend services and REST APIs that reliably expose Snowflake-powered data to internal consumers.
Senior Architect role to design and implement high-performance AI communication and memory libraries while driving hardware-software co-optimization across GPUs, DPUs, NICs, and interconnects at NVIDIA.
Lead and mentor cloud-focused engineering teams to deliver scalable, production-ready systems that expand access to technology-enabled pediatric care.
Work on high-impact screening and fraud-prevention systems at Fundrise, building reliable, scalable software that protects millions of users while partnering closely with Legal, Finance, and Operations.