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Role Responsibilities:
- Design and develop AI-powered applications using Large Language Models and Retrieval-Augmented Generation.
- Build secure, scalable cloud-native services with REST APIs and integrate healthcare standards like FHIR and HL7.
- Implement automated tests, optimize performance, and support CI/CD pipelines with DevSecOps practices.
Qualifications:
- Bachelor's degree in Computer Science or related field with 8+ years of enterprise software development.
- 5+ years of cloud-native development on AWS and demonstrated experience with AI/ML and Generative AI.
- Expertise in Amazon Bedrock, LLMs, RAG, prompt engineering, and vector databases for semantic search.
Additional Considerations:
- Ability to obtain a Government Public Trust clearance and experience with Federal healthcare organizations.
- Knowledge of Responsible AI, NIST frameworks, and clinical terminology standards like SNOMED CT and ICD-10.
- AWS certifications highly desirable, with strong analytical and communication skills for team collaboration.
Vetsez
VetsEZ specializes in developing enterprise AI solutions for the Department of Veterans Affairs, focusing on secure, scalable healthcare applications. The company culture emphasizes collaboration with clinical stakeholders and adherence to Federal security standards, fostering a team of skilled engineers.