Agentic AI Engineer for Life Sciences

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

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.