Summary

We are seeking a Senior Software Engineer (Applied AI) who can help us build the next generation of AI-powered workflows at Avallone.

This is a hands-on engineering role focused on turning recent advances in AI into reliable, valuable product capabilities for our customers. You'll work across product, engineering, and AI to identify opportunities, design solutions, and bring them into production.

We’re looking for someone who combines strong software engineering fundamentals with practical experience building and operating AI-powered products in the real world.

• Location: Copenhagen (hybrid)

• Reporting line: CTO

About the role

You will help design, build, and operate AI-powered product capabilities in a security- and reliability-conscious production environment.

This role is about shipping real customer value: robust workflows, measurable quality improvements, and systems we can understand, debug, and evolve over time.

What you'll work on

The following are some of the important areas you'll focus on:

• Designing and building AI-powered product capabilities that solve real customer problems.

• Improving retrieval, grounding, and answer quality across our AI systems.

• Building evaluation frameworks and feedback loops to measure and improve AI performance.

• Developing shared AI infrastructure, abstractions, and tooling that enable the wider engineering team.

• Exploring new AI capabilities and helping determine where they can create meaningful value for customers.

• Balancing quality, latency, reliability, security, and cost in production AI systems.

• Working closely with product and domain experts to turn complex KYC and compliance workflows into effective AI-assisted experiences.

What we’re looking for

Technical background

• Significant experience (typically 5+ years) as a software engineer building production systems.

• Strong proficiency with:

  • TypeScript/Node.js or another modern backend language.

  • Relational databases and distributed systems.

  • Modern cloud environments (ideally AWS).

• Experience designing and operating customer-facing SaaS products.

AI experience

• Demonstrated experience building and shipping AI-powered features or products used by real customers.

• Deep, hands-on expertise working with modern LLMs and AI platforms in production (not just prototypes), including making the right tradeoffs across quality, latency, reliability, and cost.

• Strong working knowledge and practical implementation experience across areas such as:

  • Retrieval-Augmented Generation (RAG)

  • Evaluation and benchmarking

  • Prompt engineering and structured outputs

  • Agents and tool use

  • Embeddings and semantic search

  • AI observability and monitoring

• Ability to reason rigorously about AI system behavior and failure modes (hallucinations, grounding gaps, prompt/agent brittleness, retrieval drift), and to design mitigations that are measurable and maintainable.

Ways of working

• You are curious and actively experiment with new technologies.

• You can separate hype from practical value.

• You move quickly from idea to working prototype while maintaining engineering quality.

• You communicate clearly with both engineers and non-engineers.

• You enjoy working in areas where the solution is not yet obvious.

Nice to have

• Experience building AI products in a regulated or compliance-heavy domain.

• Experience with evaluation frameworks and AI quality measurement.

• Experience with vector databases, search systems, or knowledge retrieval.

• Experience fine-tuning models or training domain-specific AI systems.

• Familiarity with KYC, AML, risk, compliance, or fintech workflows.

• Experience working in a startup environment with high autonomy and ownership.

Engineering at Avallone

Engineering at Avallone means being part of a small, non-hierarchical agile team where everyone’s voice matters. We work closely together, keeping collaboration at the center of everything we do — whether it’s through pair programming, shared problem-solving or open discussions.

We use modern tooling to stay efficient and effective: TypeScript as our main language, Node/Nest.js for backend development, and React with Mobx on the frontend. Our infrastructure relies on AWS, managed with Pulumi, while GitHub Actions helps streamline our CI/CD pipelines.

As a small team, we value flexibility and the ability to wear multiple hats. This means you’ll have the opportunity to make a big impact, help shape our technology choices and contribute directly to our growth — all while working alongside passionate teammates who are dedicated to building secure, high-performing, and customer-centric solutions.

Hiring Process

Interviewing for a job in Avallone should be a great experience - nothing less! We want you to feel informed and relaxed throughout the process, and we’re highly aware that we have a big responsibility in making that possible. This we do by being fully transparent about the process – and what happens when and with whom.

For more on what to expect, details are on our website: https://www.avallone.io/careers