AI Engineer – Financial Services Hybrid at RiskSpan
Washington, DC
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Jun 30, 2026
Washington, DC
Jul 21, 2026
What this job asks for AI summary
This role centers on building and shipping production AI systems — chatbots, data analysis agents, and workflow automation tools — for a financial services analytics firm. The work spans the full stack: RAG pipelines, multi-agent architectures, AWS-based orchestration, and integration with enterprise data sources. It suits engineers with a proven record of taking LLM-powered applications from design through to live deployment, particularly in regulated or data-intensive environments.
Senior level · Remote
“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 2,500 people nationally plausibly meet what this posting asks for (software developers). range 1,500–4,550
Applicant volume Moderate — A normal amount of company. The rare requirements below are what will separate a shortlisted application from the rest.
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 (8)
The role is listed as 'Remote / Hybrid' with no specific city or metro mentioned; no CBSA could be assigned. Candidates must be legally authorized to work in the US.
SOC classification is Medium confidence: the role is primarily software engineering (building and shipping production AI applications), but has meaningful data-science overlap (embeddings, model evaluation, RAG pipelines). 15-1252 Software Developers was chosen because the emphasis is on end-to-end system design, deployment, and cloud engineering rather than modeling or statistical analysis.
No total years of experience are stated in the posting; the overall years minimum is left unset. The breadth of required production-grade skills (end-to-end AI systems, multi-agent workflows, cloud-native AWS) supports a Senior-level assessment despite no explicit seniority label in the title.
'AWS Bedrock or equivalent platforms' is listed under Required Qualifications with a substitution qualifier — the requirement is for LLM platform experience; AWS Bedrock is the named primary with common alternatives captured.
'AWS Bedrock AgentCore or similar agent orchestration frameworks' appears under Preferred Qualifications; well-known interchangeable agent orchestration frameworks are listed as alternatives.
Containerization and infrastructure-as-code appear only under Preferred Qualifications; Docker and Terraform are captured as preferred accordingly.
No compensation range is provided in the posting.
This posting reads as a fully-remote role, so it was scored against the national candidate pool rather than a single metro.
Read the full posting
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