Senior AI Application Engineer

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🤠 Texas – Remote

🤠 Texas – Remote

⏰ Full Time

🟠 Senior

💻 Application Engineer

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VetsEZ

WebsiteLinkedInAll Job Openings

201 - 500 employees

🤝 B2B

☁️ SaaS

🏛️ Government

B2B • SaaS • Government

VetsEZ is a company specializing in digital transformation within the federal sector. It provides solutions such as PMO (Project Management Office), software solutions, and data solutions to its clients. VetsEZ is actively involved in securing and managing large contracts, such as a 5-year, $158M contract for Community Care Development, Security, and Operations (CCDSO) Support Services, and a 5-year, $415M contract for Health Middleware and Data Management (HMDM) DevSecOps Support Services. The company also supports the Veterans Affairs (VA) through prescription drug monitoring programs and other health data management services. VetsEZ focuses on leveraging technology to improve healthcare and data management for federal clients.

📋 Description

• Design, develop, and implement enterprise AI applications utilizing Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG). • Develop AI-assisted search, summarization, and question-answering capabilities using Amazon Bedrock. • Build reusable AI services supporting prompt orchestration, document retrieval, and response generation. • Implement prompt engineering and source-grounding strategies to improve AI accuracy, consistency, traceability, and clinical relevance, including source links that support human verification. • Optimize AI performance while balancing response quality, latency, and operational cost. • Design and develop secure, scalable cloud-native applications utilizing modern software engineering practices. • Develop RESTful APIs and backend services supporting AI capabilities and enterprise integrations. • Implement approved document retrieval, vector search, and semantic search capabilities within the selected patient context and CHSD document set. • Develop automated unit, integration, and functional tests and repeatable AI evaluations for groundedness, retrieval quality, and clinical relevance supporting AI-enabled applications. • Troubleshoot software defects, optimize application performance, and support activities within the approved test environment and for future production readiness. • Integrate AI capabilities into existing enterprise healthcare applications and clinical workflows. • Develop secure interfaces utilizing REST APIs and modern integration patterns. • Support interoperability utilizing healthcare standards including FHIR, HL7, and CCD. • Collaborate with Solution Architects and engineering teams to implement scalable and maintainable application designs. • Participate in code reviews and promote software engineering best practices across the development team. • Develop secure software in accordance with Federal cybersecurity and privacy requirements, including approved data-retention and purge controls. • Support CI/CD pipelines, automated deployments, and cloud-native operational practices. • Implement logging, monitoring, audit capabilities, and operational telemetry, including model and prompt version tracking, usage and cost monitoring, and controls to detect model, prompt, retrieval, and data drift. • Support application security scanning, vulnerability remediation, and activities within the approved test environment and for future production readiness. • Incorporate 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. • Present technical solutions and implementation approaches to project leadership and stakeholders.

🎯 Requirements

• Bachelor's degree in Computer Science, Software Engineering, Information Systems, Artificial Intelligence, Data Science, or a related technical field, or equivalent experience. • 8+ years developing enterprise software applications. • 5+ years developing cloud-native applications utilizing AWS or comparable cloud platforms. • Demonstrated experience developing Artificial Intelligence, Machine Learning, or Generative AI solutions. • Experience implementing applications utilizing Amazon Bedrock or similar enterprise AI platforms. • Experience developing enterprise REST APIs and cloud-native application services. • Knowledge of Amazon Bedrock and AWS cloud services. • Familiarity with Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG). • Proficiency in Python, Java, or C#. • Experience with REST APIs and JSON. • Understanding of vector databases, embeddings, and semantic search. • Experience with Git, CI/CD, and DevSecOps. • Knowledge of healthcare interoperability (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