AI Engineer

Overview

We are looking for a hands-on AI Engineer to support the implementation of Claude-based AI solutions across R&D, Quality, and Manufacturing environments.

The role focuses on automating repetitive data processes, unlocking historical data, and improving data analysis workflows. This is a highly practical role requiring daily coding, rapid prototyping, and direct interaction with real-world data.

• Automating repetitive data preparation and analysis workflows to reduce manual effort
• Building systems that enable access to and reuse of historical data across R&D and manufacturing
• Developing AI-driven tools using Claude (LLM) to support data analysis and decision-making
• Creating intelligent search and analysis capabilities across structured and unstructured data
• Writing production-level code to build, test, and deploy AI solutions
• Developing and maintaining data pipelines for ingestion, processing, and output generation
• Supporting analysis of manufacturing data to identify trends, patterns, and key scenarios
• Contributing to simplification of quality processes (e.g. documentation, reporting)
• Rapidly prototyping and iterating AI use cases within a short delivery timeframe

• Strong hands-on programming experience (ideally Python)
• Experience working with Generative AI / LLMs (Claude strongly preferred)
• Proven ability to build and deploy real AI applications, not just prototypes
• Experience with data processing, APIs, or workflow automation
• Comfortable coding daily in a fast-moving, exploratory environment
• Strong problem-solving mindset with ability to translate business needs into solutions

• Experience with data retrieval or knowledge systems (e.g. RAG-type approaches)
• Exposure to scientific, industrial, or manufacturing data environments
• Experience working in regulated industries (medtech, pharma, diagnostics)