Senior AI Application Engineer (Remote Opportunity)

Veterans EZ Info Inc; Dallas (TX); Remote; USD 140,000 - 180,000; Full time

Benefits offered by this job

Remote opportunity

Corporate laptop

401(k) with Employer Match

Paid time off

Job summary

VetsEZ seeks a Senior AI Application Engineer to design, develop, and deploy enterprise AI solutions for the VA. You will work with AI architects, cybersecurity, and clinical stakeholders to deliver secure, scalable AI-powered applications within a test environment using RAG, LLMs, and Bedrock.

You will implement prompt engineering, document retrieval, and semantic search, ensure compliance with federal security and AI governance, and contribute to CI/CD pipelines and HITL practices.

Qualifications

• Bachelor's degree in CS, Software Engineering, AI, Data Science or equivalent experience.
• 8+ years building enterprise software.
• 5+ years developing cloud-native apps on AWS or similar.
• Experience delivering AI/ML or Generative AI solutions.
• Experience with Bedrock or similar enterprise AI platforms.

Responsibilities

• Design, develop, and deploy enterprise AI apps using LLMs and RAG.
• Build AI-assisted search, summarization, and QA with Bedrock.
• Create reusable AI services for prompts, retrieval, and response generation.
• Apply prompt engineering and source-grounding for accuracy and relevance, with source links.
• Balance performance, latency, and cost while maintaining security and governance.
• Develop secure, scalable cloud-native apps and RESTful APIs.
• Implement document retrieval, vector search, and semantic search in patient contexts.
• Write automated tests and evaluations for groundedness and clinical relevance.
• Integrate AI into enterprise healthcare apps and workflows.
• Ensure interoperability with FHIR, HL7, and CCD.

Skills

AWS

Bedrock

LLMs

RAG

Python

Java

C#

REST APIs

JSON

Vector databases

Embeddings

Semantic search

Git

CI/CD

DevSecOps

FHIR

HL7

CCD

Security compliance

Education

Bachelor's degree or equivalent experience

Tools

Amazon Bedrock

AWS

Cloud-native architectures

Job description

VetsEZ is seeking a Senior AI Application Engineer to design, develop, and implement enterprise Artificial Intelligence (AI) solutions supporting the Department of Veterans Affairs (VA). The initial assignment will support the Joint Longitudinal Viewer (JLV) AI Summarization initiative, delivering a secure, governed AI-assisted search and summarization capability within an approved test environment utilizing Retrieval-Augmented Generation (RAG), Large Language Models (LLMs), and Amazon Bedrock, while supporting clinical evaluation and future production readiness.

Working closely with AI Solution Architects, Product Owners, cybersecurity teams, DevSecOps engineers, and clinical stakeholders, this individual will develop secure, scalable, and maintainable AI-powered applications that integrate seamlessly with existing enterprise healthcare systems while ensuring compliance with Federal security, privacy, and AI governance requirements.

Responsibilities

• 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.
  
• Amazon Bedrock and AWS cloud services
• Large Language Models (LLMs)
• Retrieval-Augmented Generation (RAG)
• Prompt engineering and AI evaluation
• Python, Java, or C#
• REST APIs and JSON
• Vector databases, embeddings, and semantic search
• Git, CI/CD, and DevSecOps
• Healthcare interoperability (FHIR, HL7, CCD)

Additional Qualifications

• Strong understanding of modern software engineering principles and cloud-native application development.
• Experience developing scalable, secure, and maintainable enterprise applications.
• Excellent analytical, troubleshooting, and problem-solving skills.
• Strong written and verbal communication skills with the ability to collaborate across multidisciplinary engineering teams.
• Ability to obtain and maintain a Government Public Trust clearance.
  
• Experience supporting the Department of Veterans Affairs (VA), Department of Defense (DoD), or other Federal healthcare organizations.
• Experience developing AI-enabled clinical workflow, information-retrieval, or clinician-support applications requiring human validation.
• Experience implementing vector search, embeddings, semantic search, and prompt orchestration.
• Knowledge of Responsible AI, NIST AI Risk Management Framework (AI RMF), NIST SP 800-53, FISMA, and FedRAMP.
• Familiarity with clinical terminology standards including SNOMED CT, ICD-10, RxNorm, and LOINC.
• AWS Developer, AWS AI, Machine Learning, or other AWS cloud certifications are highly desirable.

Benefits

• Medical, Dental, and Vision Insurance
• 401(k) with Employer Match
• Paid Time Off plus Federal Holidays
• Corporate Laptop
• Professional Development and Training Opportunities
• Remote Opportunity

Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability, or protected veteran status.

Sorry, we are unable to offer sponsorship at this time.