Senior AI Engineer

Job Summary

To support innovative healthcare solutions, the full-time remote Senior AI Engineer will design and implement AI architectures, develop scalable microservices, and leverage large language models (LLMs) for healthcare applications.

Key responsibilities

• Design and implement multi-agent workflows and retrieval augmented generation (RAG) pipelines for clinical data
• Develop and maintain scalable microservices and APIs, ensuring compliance and ethical standards in AI applications
• Lead MLOps practices, including CI/CD for models, automated testing, and production deployments with a focus on reliability and observability

Required qualifications

• Bachelor's degree in Engineering, Computer Science, IT, or related fields
• 10+ years of total technology experience with 8+ years in software development/data engineering/analytics focused on AI/ML
• 4+ years of hands-on experience with Databricks and orchestration tools like ADF/Airflow
• Proficiency in Scala, Python, and big data technologies such as Spark and Kafka
• 2+ years of experience with large language models and generative AI frameworks