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Agentic AI Engineer - Remote

Posted Yesterday
Software Development
Full Time
Germany

Overview

Apheris is building the future of AI applications in pharmaceutical R&D, enabling teams to discover and develop drugs faster through federated data networks.

In Short

  • Transform Apheris into an AI-first company.
  • Build internal AI systems and workflows.
  • Integrate fragmented data sources for better decision-making.
  • Focus on commercial and cross-functional enablement.
  • Design and deploy agentic workflows for daily use.
  • Drive adoption of AI-native workflows across teams.
  • Ensure systems are reliable and secure.
  • Contribute to the company-wide AI-first transformation.
  • Work closely with business stakeholders and leadership.
  • Hands-on role with a focus on quality and speed.

Requirements

  • 2–4 years of experience in applied AI or data systems.
  • Strong experience with LLMs and retrieval-augmented systems.
  • Hands-on with agent frameworks and orchestration.
  • Solid data engineering capabilities.
  • Exceptional execution bias and entrepreneurial drive.
  • Experience building agentic workflows in real environments.
  • Familiarity with tools like Claude Code or similar.
  • Strong engineering and product judgment.
  • Fluent in English; German optional.
  • Flexible to work across various internal teams.

Benefits

  • Industry-competitive compensation with share options.
  • Remote-first working environment.
  • Wellbeing budget and mental health support.
  • Generous holiday allowance.
  • Office days at Berlin HQ or other European locations.
  • High-caliber team with significant ownership from day one.
  • Opportunity to shape AI-first practices in a fast-growing company.
Apheris logo

Apheris

Apheris AI is a pioneering company that specializes in federated life sciences data networks, tackling the significant challenge of accessing proprietary data that is often locked in silos due to intellectual property and privacy concerns. The company recognizes that publicly available datasets are inadequate for training high-quality machine learning models that meet industry standards. To address this, Apheris AI enables life sciences organizations to collaboratively train superior models using complementary data from multiple parties. The company is currently focusing on two key areas: structural biology and ADMET, and is committed to using AI and machine learning for positive impact.

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