Senior AI Engineer
Job Summary
Driving innovation in healthcare, the full-time Senior AI Engineer will design and implement agentic AI workflows, develop scalable microservices, and ensure compliance with industry standards while working remotely.
Key responsibilities
- Design and implement multi-agent workflows and retrieval augmented generation pipelines for clinical data
- Leverage and adapt LLMs, ensuring compliance and ethical standards through intelligent frameworks
- Own MLOps processes, including CI/CD for models and automated testing, while leading production deployments
Required qualifications
- Bachelor's in Engineering, Computer Science, IT, or related fields
- 10+ years of total technology experience with 8+ years in software development, AI/ML delivery, and data engineering
- 4+ years of hands-on experience with Databricks and big data technologies like Spark and Kafka
- 2+ years of experience with LLMs and GenAI frameworks
- Proficiency in building services or full-stack applications using frameworks like FastAPI or Node.js
Complete Job Description
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