Ai Engineer

As our next AI 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.Si desea saber un poco más sobre esta oportunidad, o está considerando presentar su candidatura, por favor, lea la siguiente información del puesto.About the roleGenerative 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 haveUnderstanding 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.Alongside this, we offer: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.xqbhyrx Employment decisions are based solely on qualifications, merit, and business needs.#J-*****-Ljbffr

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 haveUnderstanding 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.Alongside this, we offer: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.

Barcelona, España

As our next AI 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.Si desea saber un poco más sobre esta oportunidad, o está considerando presentar su candidatura, por favor, lea la siguiente información del puesto.About the roleGenerative 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.