Senior AI Application Engineer (Remote Opportunity)
VetsEZ · Dallas, TX
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Jul 22, 2026
Dallas, TX
Jul 24, 2026
What this job asks for AI summary
A senior engineering role focused on building AI-powered search and summarization capabilities for a Department of Veterans Affairs clinical viewer application. Day-to-day work centers on developing RAG pipelines, LLM integrations, and backend services using Amazon Bedrock, alongside REST APIs, vector search, and healthcare interoperability standards. The role suits an experienced cloud-native engineer with a background in generative AI and federal or healthcare software environments.
Senior level · 8+ years · Remote · Full-time
“or” means any one of them counts — you don't need all of them.
We read this from the posting text with AI. Skim the description below before ruling yourself out.
How this req sits in the market our data
Roughly 1,100 people nationally plausibly meet what this posting asks for (software developers). range 320–1,650
Applicant volume Light — Few people clear these requirements, so an application that does clear them gets looked at. Worth applying to even if you miss a nice-to-have.
Rare in this occupation — lead with these, and say what you built with them.
Most people in this occupation already list these. Still required — just not what gets you shortlisted.
What the occupation pays Median $138,970 (middle half $107,524–$175,762).
Estimated from BLS employment for this occupation and area, per-skill prevalence across our listing corpus, and published wage benchmarks — as of Jul 28, 2026. It is a model, not a headcount.
Why we read it this way (10)
The role is primarily software development (building AI-powered applications, REST APIs, cloud-native services), but has a meaningful AI/ML engineering dimension (LLMs, RAG, Amazon Bedrock, prompt engineering). 15-1252 Software Developers was chosen as the primary SOC because the core deliverable is shipping enterprise software; 15-2051 Data Scientists is the runner-up given the depth of generative AI and ML work.
No location is specified beyond 'Remote Opportunity'; no CBSA or state could be determined.
The degree requirement lists 'Bachelor's degree … or equivalent experience', which means no formal degree is hard-gated.
Clearance: the JD states candidates must be 'able to obtain and maintain a Government Public Trust clearance' — this is a suitability determination, not a US security clearance (Confidential/Secret/TS), so the clearance requirement is set to None.
Python, Java, and C# are listed together as interchangeable language options in the required skills block; Python is named first and is the most common choice for AI/ML work in this context.
The 5-year cloud experience requirement is tied to AWS (or comparable platform) at the role level; it is captured on the AWS skill's years demanded.
Healthcare interoperability standards (FHIR, HL7, CCD) appear in the required skills list and are marked accordingly.
Additional Qualifications items (VA/DoD experience, clinical AI workflows, vector search/embeddings/prompt orchestration, Responsible AI/NIST frameworks, clinical terminology standards, AWS certifications) are listed under a clearly secondary heading and are marked as preferred.
No compensation figures are provided in the posting.
Ignored 2 non-technology phrase(s) as skills (responsibilities/concepts, not named tools): Prompt orchestration, NIST SP 800-53.
Read the full posting
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