AI Engineer

The Sr. AI/NLP Engineer will support taking human-generated unstructured data and, through the use of powerfull tools such as Databricks, LLMs, and pre-trained models, extract structure and assign meaning to it. To be successful in this role, an individual needs to have a solid technical foundation, current experience with Databricks, SQL, and LLMs, and while healthcare-specific training isn't a deal breaker, it is helpful for contextual awareness.

More importantly, the candidate needs to have enough experience to approach problems with confidence. Either in their ability to solve them, or to ask questions without spinning their wheels.

Skills:

• Azure Cognitive Services integration
• Databricks and SQL Server
• Offline Open-Weight Model Usage
• Databricks Foundational model Integration
• Claude API implementation a plus
• Third-party pre-trained NLP libraries
• Python and NLP frameworks (spaCy, Hugging Face, NLTK)
• Healthcare/clinical text processing
  
  Experience:
• 5+ years AI/ML engineering
• Clinical NLP and healthcare data extraction experience
• LLM fine-tuning and prompt engineering
• Deployment to Production

Mid-Senior level

Full-time

Engineering and Information Technology