$185,000 – $200,000
Listed on Beckman Coulter’s own careers site. You apply with them directly — we never stand between you and the employer.
What this role is
This role designs and deploys AI solutions for legal and compliance work across a large biotechnology company, bridging software engineering and legal operations. It suits engineers with production AI experience who want to apply machine learning to enterprise legal problems and can translate between technical and non-technical stakeholders.
Our summary, not Beckman Coulter’s wording. The full posting is on their site.
Skills this role names
- Amazon Web Services (AWS)
- Cursor AI
- Docker
- Fine-tuning
- GitHub Copilot
- Hugging Face
- Kubernetes
- LangChain
- LlamaIndex
- Microsoft Azure
- Pinecone
- Prompt Engineering
- Python
- Qdrant
- Retrieval-Augmented Generation
- TypeScript
- Vector Databases
- Weaviate
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What they ask for
Required
- Bachelor's degree in Computer Science, Data Science, Engineering, or related technical field
- 5+ years professional experience in software engineering, data science, or machine learning engineering
- Production experience with large language models including prompt engineering, fine-tuning, RAG architecture, and agent development
- Strong Python programming proficiency with AI/ML libraries and frameworks
- Experience with AI development tools like Claude Code, Cursor, or GitHub Copilot
- Hands-on experience with vector databases, cloud platforms, API design, and containerized deployment
- Experience designing data pipelines and document processing systems for unstructured content at scale
- Demonstrated interest or experience in legal, compliance, or regulatory domains
Nice to have
- Master's or advanced degree
- Proficiency in TypeScript or Java
- Building or deploying AI solutions in regulated industries
- Agentic AI patterns and multi-step autonomous workflows
- Enterprise AI governance and responsible AI practices
- Experience with bias testing, explainability, and EU AI Act compliance