remote

Salary
Posted
Jul 20, 2026
Location
Last confirmed open
Jul 22, 2026

What this job asks for AI summary

A contract-to-hire role focused on building and maintaining production-grade AI applications, including systems built around large language models, retrieval-augmented generation, agentic workflows, and multimodal models. The engineer will also design evaluation frameworks, implement observability and guardrails, and work across engineering, product, and operations teams to embed AI capabilities into enterprise systems. Suits someone with solid Python and cloud experience who has shipped generative AI solutions in production.

Senior level · 5+ years · Remote · Bachelor's required · Contract

Must have (9)
PythonLLMsRAGAWS or GCPvector databasesembeddingssemantic searchrelational databases or NoSQLagentic AI
Nice to have (1)
AI guardrails

“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 1,650 people nationally plausibly meet what this posting asks for (data scientists). range 490–2,500

Applicant volume Moderate — A normal amount of company. The rare requirements below are what will separate a shortlisted application from the rest.

What gives you an edge
vector databases6%RAG8%embeddings10%

Rare in this occupation — lead with these, and say what you built with them.

What won't set you apart
Python88%

Most people in this occupation already list these. Still required — just not what gets you shortlisted.

What the occupation pays Median $122,874 (middle half $87,544–$162,374).

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 genuinely ambiguous between Data Scientists (15-2051) and Software Developers (15-1252): it emphasizes production-grade software engineering and cloud-native application building as much as ML/AI modeling. 15-2051 was chosen as primary because the core deliverables center on LLMs, RAG, embeddings, model evaluation, and applied ML — but 15-1252 is a strong runner-up.

The JD states 'Bachelor's degree … required; Master's degree preferred.' The hard gate is a Bachelor's, so the degree requirement is set to Bachelors.

At least 1 year of recent experience with production generative AI is called out as a distinct sub-requirement within the 5+ year overall gate; it is captured in the generative AI skill rather than as a separate the overall years minimum.

AWS and GCP are listed as interchangeable cloud platform examples ('such as AWS or GCP'); they are combined into one skill with GCP as an alternative.

Relational and NoSQL databases are listed as an 'and/or' requirement; relational databases is the primary skill with NoSQL as an alternative.

AI guardrails and human-in-the-loop workflows appear under a 'is a plus' qualifier and are marked preferred accordingly.

Experience in regulated industries (healthcare, insurance, financial services) is listed as preferred and is a domain/context note rather than a named technology, so it is omitted from the skills list per extraction rules.

No compensation figures were provided — only a narrative reference to a 'competitive compensation package' and 'estimated base salary range aligned with market expectations.'

Ignored 1 non-technology phrase(s) as skills (responsibilities/concepts, not named tools): human-in-the-loop workflows.

Posting is for a contract engagement — the market benchmarks below price full-time roles, so read the comp comparison with that in mind.

Read the full posting

The employer publishes the full description on their own site — read it there ↗. Or sign in to read it here — it's free, and it also lets you track this application.

Apply

Apply on employer site ↗