Senior Software Developer – AI Engineering

As a Senior Software Developer in AI Engineering, you will be a key player in building the AI capabilities that Bankdata's developers use daily. You will work hands-on with agentic coding, agentic tooling, and guardrails that make autonomous AI safe in a financial enterprise context. You will help Bankdata transition from a classic SDLC to an AI-driven Development Lifecycle (AIDLC). This role will provide you with both a deep technical dive into the latest AI advancements and the opportunity to make a significant impact on how software is created for almost 1000 developers and professionals.

A team with a focus on AI for developers

You will be part of the Code Delivery Tools team, which is responsible for Bankdata's development tools, platforms, and enablement within AI. The team's headcount is 7 engineers, and today it consists of 6 specialists with diverse backgrounds and experience levels.

Daily work is structured around Scrum with daily, refinement, sprint planning, review, and retrospective. The focus is on shared goals, knowledge sharing, and collaboration, including pair programming when appropriate.

From a technological perspective, the team works with agentic AI, LLM-based development tools, MCP, and agentic integrations, evaluation and observability of AI outputs, as well as the platform and CI/CD that underlies it all. The culture is characterized by curiosity, pragmatism, and strong product thinking, where Bankdata's developers are our customers.

Your role: Agentic AI in the hands of developers

Your primary responsibilities:

• Take ownership of and maintain our choice of AI development tools, including managing budgets, models, capabilities, etc.
• Build, integrate, and manage agentic AI tooling and harness components for developers. Everything from coding agents and MCP servers to deterministic helper tools that solve real problems in the development chain.
• Develop and implement guardrails: policies, access models, sandboxing, review-gates, and audit trails that make autonomous development agents compliant by default in a financial context.
• Establish metrics and evaluations of AI tool performance and quality—adoption rate, execution time, error frequency, and confidence in outputs.
• Translate future concepts like AIDLC into concrete capabilities that can be consumed by real teams.
• Drive developer enablement in AI-assisted development: testing new solutions, creating best practices, working with harness engineering, running AI guilds, and sharing knowledge across teams and domains.

In the first 6-12 months, you will:

• Participate in team collaboration and work openly and pragmatically with your colleagues.
• Work hands-on with the team's existing AI tooling chain and make it even better, faster, and more reliable for developers.
• Build and mature guardrails for agentic coding so that more tasks can be delegated to agents with confidence.
• Participate in shaping the direction of agentic software development at Bankdata together with the team and Bankdata's AI architects.
• Collaborate closely and openly with colleagues and development teams to change practices and adoption levels, not just tooling.

Your profile – a strong AI engineer with product thinking

We assume you have:

• Broad technical experience, e.g., within Computer Science, Software Development, or similar fields – experience and drive are valued higher than formal education.
• Strong hands-on generative AI skills: agentic AI, agentic coding, harness engineering, context and tool design, and have built something that works yourself.
• Understand why guardrails, safety, and compliance are a prerequisite and not a hindrance when AI gains autonomy in a financial company.
• Keep up with the field's development and want to work with cutting-edge AI concepts as they emerge.
• Have solid software development experience and know the daily work, tools, and workflows of developers inside out.
• Work in a structured and pragmatic way, thrive in a team with shared responsibility, and view developers as your internal customers.
• Experience within Developer Experience or Platform Engineering will be an advantage.

What do we offer?

• A unique opportunity to work with agentic AI and AI-assisted development in a mission-critical enterprise context for over 1000 employees.
• High visibility and the opportunity to make improvements that are felt across Bankdata.
• Good development opportunities within AI engineering, agentic engineering, platform engineering, and developer enablement.

Do you want to be part of the team?

Then submit your CV via the link below today. Joining is possible as soon as possible, and we assess applications on an ongoing basis. If you have questions about the vacancy, please contact Michael Lind Mortensen, Senior Manager, at recruiter contact.

Welcome to Bankdata

Bankdata builds software for the financial sector. We are almost 1000 colleagues, and we develop digital products, platforms, and infrastructure that are used daily by approximately every third Dane, 200,000 companies, and thousands of bank employees.

We believe in structured personal development, a strong collegial community, and that ambitious employees with a flexible and sustainable work-life balance perform best. Learn more about working at Bankdata here.

At Bankdata, we work purposefully to promote diversity among our employees, which is why we encourage everyone, regardless of gender identity, age, and cultural background, to apply for positions with us.