AI Engineer

BASE life science A/S; København; Hybrid; DKK 900,000 - 1,200,000; Full time

Benefits offered by this job

Health & wellbeing support

Flexible ways of working

Ongoing learning & development

Modern work setup

Job summary

BASE life science is seeking an AI Engineer to build agentic AI engines powering life sciences solutions, from regulated data handling to scalable cloud deployments.

You will design, build, evaluate, and improve AI systems that automate documentation, data review, and complex workflows for regulated environments, collaborating with cross-functional teams.

Today’s role emphasizes reliability, security, observability, and measurable impact for patients and healthcare systems worldwide.

Qualifications

• Strong Python skills and solid software engineering fundamentals.
• Hands-on experience with at least one major cloud (AWS, Azure or GCP).
• Deep, hands-on experience with enterprise LLMs and their APIs (Anthropic/Claude, OpenAI, Google), including tool/function calling, structured outputs, MCP.
• Experience building agentic systems with orchestration frameworks such as Pydantic AI, LangGraph, OpenAI Agents SDK, AutoGen / Microsoft Agent Framework, or LlamaIndex.
• Strong retrieval techniques (RAG, graph-RAG, embeddings, vector search) and document-processing pipelines.
• Context-design and prompt engineering to improve AI quality.
• Experience with evals and observability including tracing, regression testing, reliability, latency, and cost management.
• Familiarity with LangSmith, Langfuse, Braintrust, Arize Phoenix, MLflow, DeepEval, or Promptfoo.
• Data science fundamentals and statistical thinking.
• Strong English communication skills.

Responsibilities

• Design, build, and ship AI-powered tools that help life science teams create, review, and manage critical documents and data.
• Build features such as grounded retrieval, summarisation, document comparison, question answering, and content classification with traceability back to source.
• Design agentic workflows capable of handling complex business processes.
• Build evaluation frameworks and observability capabilities that ensure reliability and quality.
• Ensure solutions are secure, auditable, and scalable in regulated cloud environments (AWS, Azure, GCP).
• Collaborate closely with clinical, regulatory, quality, and commercial experts to understand their workflows and implement AI solutions that create measurable value.

Skills

Python

Cloud platforms (AWS/Azure/GCP)

LLMs & APIs

Agentic systems

Retrieval techniques

Context engineering

Evaluation & observability

LangSmith / Langfuse / Arize

Data science basics

English communication

Tools

Pydantic AI

LangGraph

OpenAI Agents SDK

AutoGen

LlamaIndex

Job description

As our nextAI Engineer, you will contribute to solving meaningful challenges across the life sciences industry. We offer specialised management consulting services, working with top-tier life sciences companies as well as biotech startups — locally and globally. From strategy development to hands‑on implementation, we support our clients where impact matters most.

About the role

Generative and agentic AI has moved from demos to production. With this, one of our key focus areas is building products with an agentic AI engine at their core that are reliable, secure, auditable, and good enough to put in front of a medical writer or a regulatory reviewer.

That challenge has two halves:

• The AI engine: Orchestration, retrieval, context engineering, tool use, guardrails, and the evals and observability that make an agentic system able to solve business‑critical tasks in a regulated environment.
• The product around it: The UI, APIs, services, data layers, integrations, and deployment that turn that engine into robust, secure, scalable software customers depend on.

Today these two halves often pull against each other. We are building a team where they pull together. As an AI Engineer, you will focus on the AI engine itself: designing, building, evaluating, and improving agentic systems that solve real business problems in highly regulated environments.

Your responsibilities include:

• Design, build, and ship AI‑powered tools that help life science teams create, review, and manage critical documents and data.
• Build features such as grounded retrieval, summarisation, document comparison, question answering, and content classification with traceability back to source.
• Design agentic workflows capable of handling complex business processes.
• Build evaluation frameworks and observability capabilities that ensure reliability and quality.
• Ensure solutions are secure, auditable, and scalable in regulated cloud environments (AWS, Azure, GCP).
• Collaborate closely with clinical, regulatory, quality, and commercial experts to understand their workflows and implement AI solutions that create measurable value.

You bring:

• Strong Python skills and solid software engineering fundamentals.
• Hands‑on experience with at least one major cloud (AWS, Azure, or GCP).
• Deep, hands‑on experience with enterprise LLMs and their APIs (e.g. Anthropic/Claude, OpenAI, Google), including tool/function calling, structured outputs, and the Model Context Protocol (MCP).
• Experience building agentic systems with modern orchestration frameworks such as Pydantic AI, LangGraph, OpenAI Agents SDK, AutoGen / Microsoft Agent Framework, or LlamaIndex.
• Strong command of retrieval techniques including RAG and graph‑RAG, vector search, embeddings, reranking, and document‑processing pipelines.
• Practical context‑engineering skills and the ability to consistently improve AI quality through prompt and context design.
• Experience with evals and observability as first‑class concerns, including evaluation suites, tracing, regression testing, reliability, latency, and cost management.
• Familiarity with tooling such as LangSmith, Langfuse, Braintrust, Arize Phoenix, MLflow, DeepEval, or Promptfoo.
• A solid foundation in data science fundamentals, data analysis, and statistical thinking.
• Strong communication skills in English.

Nice to have

• Understanding of pharmaceutical clinical and regulatory documents and workflows.
• Awareness of GxP, 21 CFR Part 11, GDPR, HIPAA, and computer system validation.
• Experience with semantic computing and document structuring.
• Experience deploying secure, compliant applications in regulated cloud environments.
• Experience with life science upstream source systems such as Veeva.

This position is offered in Spain and Denmark.

Who is BASE life science?

Founded in 2007, BASE life science is a business and technology consulting enterprise working exclusively in the life sciences industry.

With headquarters in Denmark and offices across Europe and the United States, we support clients globally. We work closely with our customers to identify, develop, and implement initiatives that drive growth, efficiency, and meaningful change. Through partnerships with leading solution providers such as Veeva, Salesforce, IQVIA, Benchling, and MediSpend, we help our clients unlock the full potential of modern technologies.

At BASE, you work on meaningful, complex challenges at the intersection of technology, science, and business. We trust our people with real responsibility and support them in turning ambition into impact.

You will be part of a collaborative, high‑performing environment where:

• Ambition is encouraged through ownership and continuous learning.
• Execution matters — we focus on delivering solutions that work in practice.
• Team spirit and trust guide collaboration across roles, countries, and disciplines.
• Openness means your ideas are heard, you are challenged constructively, and supported as you grow.

Benefits

• Support for health and wellbeing, covering physical, mental, and social needs.
• Flexible ways of working, built on trust, autonomy, and balance.
• Ongoing learning and professional development throughout your career.
• A modern work setup, with the tools and equipment needed to do great work.
• Recognition of performance and impact, linked to contribution and results.
• The opportunity to work on challenges that make a meaningful difference for patients and healthcare systems worldwide.

At BASE Life Science, we value diverse backgrounds, experiences, and perspectives. Employment decisions are based solely on qualifications, merit, and business needs.