Applied AI Engineer
Build AI-powered workflows that turn intent into systems automating real operational tasks.
As an AI Engineer in Applications, you build AI-powered workflows that perform real work for customers and improve how systems are built.
You help turn intent into systems that automate real operational tasks.
Responsibilities
Your work includes:
- building AI-powered workflows
- integrating AI capabilities into customer systems
- developing internal tools used by Pit teams
- creating reusable AI capabilities that speed up development
- designing systems that allow non-technical users to iterate on AI behavior
You constantly look for ways to make AI-powered systems easier and faster to build.
What success looks like
- AI workflows reliably perform useful work
- New AI applications can be implemented quickly
- Reusable tools reduce engineering effort
Qualifications
Required
- 2+ years experience designing and shipping LLM-powered features or workflows in production, using language models (context engineering, tool use, structured output, evaluation)
- Experience working with coding agents (Claude Code, Codex, Cursor) as part of your development workflow
- Demonstrated ability to build reliable, observable systems, not just prototypes
- Clear, direct communication style. You write well and explain technical decisions to non-technical stakeholders
Preferred
- Experience building agentic systems, multi-step AI workflows, or human-in-the-loop automation
- 3+ years of professional software engineering experience, with meaningful time spent building production systems in TypeScript/Node.js
- Background in enterprise or B2B environments where reliability, security, and auditability matter
- Track record of building reusable internal tools or developer platforms that other engineers depend on
Not a fit if
- Your AI experience is limited to calling an API and rendering the response. We need people who understand evaluation, failure modes, and iteration loops
- You are primarily a data scientist or ML researcher looking for a model training role
- You prefer well-defined tickets over ambiguity. This is an early-stage company where you will shape the problem as much as the solution
About Pit
Where intent becomes reliable systems.
Our vision is a world where the friction between an idea and a production-ready system is zero. Our mission is to help companies run their operations on custom software they can trust.
Our principles
1. Start with the customer. Everything we build serves someone. We stay close to real users and workflows to understand their constraints and outcomes, testing against reality rather than our own taste. The customer is not a stakeholder to satisfy. They are the reason we exist.
2. Think like an owner. We take extreme ownership of our work and our mistakes. We flag problems early, make a plan, and focus on the solution. Silence is not neutrality; it is a choice that lets problems compound.
3. Set the standard. Quality compounds, but so does mediocrity. We hold exceptionally high standards in our product, code, design, and hiring. We will take shortcuts, but conscious ones.
4. Build lego blocks, not artworks. Everything we ship should compound. Every decision we document should make the company smarter.
5. Win together. No one carries the weight alone. Act with good intent. Assume your colleagues are trying their best.
6. Empower people with technology. Every solution we ship should make organizations and the people in them more capable, not just more efficient.
- Department
- Engineering & Product
- Locations
- Stockholm
About Pit
Pit is an early-stage team in Stockholm building the platform companies use to scale, maintain, and standardize what they build with AI. We're small, the problems are unsolved, and the next hires will define what this company becomes.