Senior AI Application Engineer

This is a fully remote position, open to applicants in Texas.

📋 Description

• Design, create, and deploy enterprise AI applications utilizing Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG).

• Develop AI-enhanced search, summarization, and question-answering functionalities using Amazon Bedrock.

• Construct reusable AI services that facilitate prompt orchestration, document retrieval, and response generation.

• Apply prompt engineering and source-grounding techniques to enhance AI accuracy, consistency, traceability, and clinical relevance, including source links for human verification.

• Optimize AI performance while maintaining a balance between response quality, latency, and operational costs.

• Design and build secure, scalable cloud-native applications using contemporary software engineering methodologies.

• Create RESTful APIs and backend services that support AI functionalities and enterprise integrations.

• Implement approved document retrieval, vector search, and semantic search capabilities within the defined patient context and CHSD document set.

• Establish automated unit, integration, and functional tests along with repeatable AI evaluations for groundedness, retrieval quality, and clinical relevance that support AI-enabled applications.

• Debug software issues, enhance application performance, and assist in activities within the sanctioned test environment as well as for future production readiness.

• Integrate AI functionalities into existing enterprise healthcare applications and clinical workflows.

• Develop secure interfaces utilizing REST APIs and modern integration methodologies.

• Promote interoperability using healthcare standards such as FHIR, HL7, and CCD.

• Work collaboratively with Solution Architects and engineering teams to deliver scalable and maintainable application designs.

• Engage in code reviews and encourage software engineering best practices among the development team.

• Create secure software that complies with Federal cybersecurity and privacy regulations, including authorized data-retention and purge controls.

• Facilitate CI/CD pipelines, automated deployments, and cloud-native operational practices.

• Implement logging, monitoring, audit functionalities, and operational telemetry, including model and prompt version tracking, usage and cost oversight, and mechanisms to detect model, prompt, retrieval, and data drift.

• Assist in application security scanning, vulnerability remediation, and activities within the authorized test environment for future production readiness.

• Integrate Responsible AI, Human-in-the-Loop (HITL), and AI governance principles into application development.

• Collaborate with architects, product owners, clinicians, cybersecurity teams, and government stakeholders throughout the software development lifecycle.

• Participate in Agile ceremonies including Sprint Planning, backlog refinement, Sprint Reviews, and Retrospectives.

• Contribute to technical documentation, implementation guides, and software design artifacts.

• Deliver technical solutions and implementation strategies to project leadership and stakeholders.

⛳️ Requirements

• Bachelor's degree in Computer Science, Software Engineering, Information Systems, Artificial Intelligence, Data Science, or a related technical discipline, or equivalent experience.

• Over 8 years of experience in developing enterprise software applications.

• More than 5 years of experience in creating cloud-native applications utilizing AWS or similar cloud platforms.

• Proven experience in developing Artificial Intelligence, Machine Learning, or Generative AI solutions.

• Experience in implementing applications with Amazon Bedrock or comparable enterprise AI platforms.

• Background in developing enterprise REST APIs and cloud-native application services.

• Familiarity with Amazon Bedrock and AWS cloud services.

• Understanding of Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG).

• Proficiency in Python, Java, or C#.

• Experience with REST APIs and JSON.

• Knowledge of vector databases, embeddings, and semantic search.

• Familiarity with Git, CI/CD, and DevSecOps.

• Understanding of healthcare interoperability standards (FHIR, HL7, CCD).

🏝️ Benefits

• Medical, Dental, and Vision Insurance

• 401(k) with Employer Match

• Paid Time Off plus Federal Holidays

• Corporate Laptop

• Professional Development and Training Opportunities