We're hiring an AI Engineer (US–EU time zones) to join our small team of experts and help shape the future of Alchemi's platform.

Why join

As a small team, we operate in a highly collaborative environment where you'll contribute to every aspect of the product, from ideation to deployment.

Impact: Build core AI features and infrastructure that directly contribute to Alchemi's mission of revolutionizing drug development.

Excellence: Work alongside a highly skilled team in a fast-paced, high-impact environment.

Ownership: Take an active role in influencing product direction, architecture decisions, and technical strategy.

What you'll do (responsibilities)

We're looking for an experienced AI Engineer who excels at building robust, scalable systems and delivers high-quality LLM integrations that impact end-users.

• Build AI features. Design and implement key components of our platform using LLMs and prompt engineering, focusing on reliability, performance, and maintainability.
• Scale AI infrastructure. Develop and maintain scalable systems for AI model deployment, prompt management, and complex data processing from scientific systems.
• Drive technical excellence. Establish best practices for prompt engineering, testing, and deployment while mentoring other team members.
• Collaborate across teams. Work closely with scientists and leadership to understand domain requirements and deliver impactful AI solutions.
• Ensure system reliability. Design and implement monitoring, evaluation, and testing systems to maintain high accuracy and reliability in a GxP-regulated environment.
• Innovate continuously. Research and prototype new LLM applications and prompt engineering techniques to keep our stack modern and efficient.

What we're looking for (qualifications)

You're an experienced AI Engineer with a track record of delivering robust LLM solutions in complex environments. You thrive in a high-autonomy, high-impact role.

• AI/LLM expertise. Strong experience with LLM integration, prompt engineering, and RAG architectures.
• System design skills. Proven ability to architect scalable, maintainable AI systems and prompt management infrastructure.
• Database proficiency. Experience with Postgres, including vector storage and embeddings.
• Cloud infrastructure knowledge. Strong background with AWS or similar platforms for deploying and scaling AI applications.