Senior AI Engineer (Full-Stack)

Cph Ai Hub; København; Híbrido; DKK 725 000 - 900 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Warrants under Danish §7P

Pension via ASE

On-site location in Copenhagen

Resumo da oferta

Dalea is seeking a senior engineer to build and own AI co-scientist agents for biology. You will work on the agent harness, MPC integrations, model evaluation, and the supporting infrastructure.

Expect hands-on, end-to-end ownership in a small, fast-moving team at Copenhagen's BioInnovation Institute. You'll leverage TypeScript, React/Next.js and Python to ship production-ready solutions, with opportunities to influence architecture and integrations.

Qualificações

• Designed and built an LLM agent system used in production.
• Strong full-stack TypeScript (React, Next.js) and Python proficiency.
• Led the direction of a technical area, including a major rework.
• Shipped quickly in a small team or early-stage product.

Responsabilidades

• Own the agent harness and the framework for AI co-scientist agents, from architecture to the workflows they run.
• Manage MCP integrations for traceable access to lab data.
• Make model choices, test against lab needs, and adopt what works.
• Define how we evaluate AI quality.
• Own infrastructure for inference, serving and agent execution.
• Do full-stack work to deepen integration with the platform.

Conhecimentos

LLM agent system design

Full-stack TypeScript

React/Next.js

Python

Technical ownership

Descrição da oferta de emprego

Dalea · BioInnovation Institute, Copenhagen · Full-time

Starts when our funding round closes

Build full-stack AI agents for science, with freedom, room to be creative, and real ownership, in a lively startup in Copenhagen.

An AI agent is only as useful to a scientist as the data it can see and trust. Dalea gives research labs structured data with full provenance, and we want AI co-scientists that do real scientific work on top of it. You'll own the AI side of that.

What you’ll own

• The agent harness and the framework for AI co-scientist agents, from architecture to the workflows they run.
• Our MCP integrations, which give agents access to lab data with a traceable record of what they do.
• Model choices: following the field, testing new models against what labs actually need, and adopting what works.
• How we evaluate AI quality.
• The infrastructure the AI runs on: inference, model serving and agent execution.
• Full-stack work wherever the AI needs deeper integration with the platform, and help elsewhere when the team needs it.

What you bring

Must-haves

• You’ve designed and built an LLM agent system used in production, and made the architecture decisions yourself.
• Strong full-stack TypeScript (React, Next.js or close equivalents), and you’re comfortable in Python.
• You’ve owned the direction of a technical area, including a significant rework.
• You’ve shipped quickly in a small team or an early-stage product.

Nice to have (none of them required)

• MCP servers or clients, agent frameworks or harness tooling (open source counts)
• Tools for scientists, or a background in bioinformatics, computational biology or AI for science
• Mastra or another TypeScript agent framework
• Open-weight models, through inference APIs or self-hosting
• Kubernetes
• Systems where provenance or audit trails matter

You don’t need lab or biology knowledge, a PhD or Danish. Hands‑on, shipped work counts more than research or publications. If you match the must-haves, apply, even if you have none of the nice‑to‑haves.

Our stack

TypeScript, Next.js and React. Python for our MCP service. An agent harness built on Mastra. Docker Compose and Kubernetes, hosted on Scaleway.

How we work

Our dev team is the two founders plus up to three new developers, led by our CTO. We discuss progress and priorities closely and continuously, and we expect you to take part: share ideas early, argue for what you think is right, and change course when the evidence says so.

You won’t need permission to fix what’s broken, and what you build reaches production quickly. We work together at BioInnovation Institute 3–5 days a week. We’re building the team and the way we work, and that happens best in person.

About Dalea

Dalea is a data management platform for biology and lab workflows. Experiments, structured data, samples and inventory sit in one place, with full data provenance. Everything a lab builds in Dalea can be packaged and shared, so we’re building a GitHub for life science: labs publish and reuse each other’s workflows instead of rebuilding them from scratch. We work with biotech startups, academic labs, pharma R&D and CROs.

Timing and our funding round

This position depends on our current funding round closing, which we expect in February/March 2027. We can make a conditional offer before then, and we’ll be open with you about the timing throughout the process.

What we offer

• Salary: DKK 725,000–900,000 per year, depending on experience
• Warrants: under the Danish §7P scheme
• Pension: through ASE
• Location: BioInnovation Institute, Copenhagen, on‑site 3–5 days a week. You’ll need to live in the Copenhagen area or be willing to move here. We’re happy to hear from people relocating within the EU.
• Language: English
• Start: when the round closes