Product Engineer | Agentic Platform

At TV4, our engineers build and operate the technology behind TV4 Play and MTV Katsomo, used by millions of people every week.

Within Engineering Platform, we are now building an internal agentic platform for our engineering organisation. We are looking for a Sr. Product Engineer to help build it.

Before you apply

To be considered, you need to already have the right to work and reside in Sweden and be able to work office-first from Stockholm. We are not able to offer relocation or visa sponsorship for this role.

What we are building

AI-assisted development is already part of everyday engineering at TV4. We are now taking the next step: building a platform where agents can take on meaningful parts of the software development lifecycle.

The users are our own engineers.

The work involves questions around how agents interact with our development environments, tools and systems. Which tasks should be delegated to agents? What information do they need? How do we know that an agent actually did a good job? Where do we need human judgment?

Much of this is still being figured out. We want to test ideas, put useful solutions in the hands of engineers and learn from how they work in practice.

You will work in a small team building the Agentic Platform from exploration through production.

• Build features and workflows used by engineers across TV4
• Work directly with developers to understand problems and test solutions
• Build integrations with repositories, development environments and internal systems
• Prototype when the solution is unclear and take useful ideas into production
• Take responsibility for your work in production, including reliability, observability and failure modes
• Contribute to both technical and product decisions

This is a hands-on engineering role. Depending on the problem, you may work on an API, an integration, a developer interface, infrastructure or an agent workflow.

You are an experienced software engineer with a broad technical foundation. You have built and operated software in production and are comfortable taking responsibility beyond implementation.

We are looking for someone who wants to build this as a product, not just as tooling. You treat APIs, workflows and developer interfaces as products, care about the engineers using them, and can turn recurring problems into capabilities that work across teams.

You should also be comfortable working in an area where many answers are still unknown.

We are looking for:

• Broad software engineering experience across more than one part of the stack
• Experience with system design, APIs and modern cloud environments
• Strong engineering judgment and the ability to make technical trade-offs
• Experience taking problems from exploration to production
• An interest in developer experience and internal platforms
• Experience integrating coding agents into how you work today
• Experimentation with areas such as agentic workflows, context engineering, MCP, tool use, evaluation, observability or automation
• The ability to explain technical reasoning clearly and work across team boundaries

Deep expertise in a particular language or framework is not important.

You also do not need years of experience building AI infrastructure. The field is moving too quickly for that to be a particularly useful requirement. We care more about strong engineering fundamentals and whether you are already exploring what agentic development means in practice.

The engineering challenge

Agents are probabilistic. They make mistakes, need the right context and interact with systems that have real permissions and production consequences.

We are interested in where agents genuinely improve engineering work, not in adding them everywhere because we can.

Technical environment

Depending on what you work on, you may encounter:

• Go, TypeScript, Node.js and Python
• AWS and Kubernetes
• Terraform and GitHub Actions
• APIs, CLI tooling and MCP
• Claude Code, OpenAI Codex and other coding agents
• PostgreSQL, DynamoDB and OpenSearch
• Observability and evaluation tooling

The exact stack matters less than being able to understand a problem and work effectively in the technology needed to solve it.

What TV4 offers

• A senior engineering role with significant influence over a platform used across our engineering organisation
• Short paths from idea to decision and high autonomy
• Experienced engineering colleagues and technically challenging problems
• Collective agreement, occupational pension, insurance and wellness allowance
• Benify, your choice of phone and MacBook Pro
• Office with gym, restaurant and garage

Practical information

Working model: Office-first, with four days per week in the office

Employment: Permanent position with a six-month probationary period

Union agreement: Unionen

Background check: Part of the recruitment process