Nashville, TN

Salary
Posted
Jul 16, 2026
Location
Nashville, TN
Last confirmed open
Jul 21, 2026

What this job asks for AI summary

A software engineering role focused on building and deploying AI-driven applications, with day-to-day work spanning LLM integration (via prompt engineering, fine-tuning, and RAG), machine learning model development, and scalable backend services. The position also covers cloud deployment, data pipeline design, and performance monitoring of AI systems. It suits engineers who combine solid software fundamentals with practical experience shipping AI solutions to production.

Mid level · National · Contract

Must have (5)
PythonLLMsTensorFlow, PyTorch, scikit-learn, LangChain or LlamaindexRESTAWS, Azure or GCP
Nice to have (6)
C#, Java, JavaScript or TypeScriptPinecone, Weaviate, Chroma or Azure Ai SearchGitCI/CDDockerKubernetes

“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

What gives you an edge
TensorFlow9%

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

What won't set you apart
Python51%

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 (7)

This is a Robert Half staffing placement; the posting explicitly mentions 'contract, temporary and permanent placement solutions' and contract/temporary benefits — the engagement type is most likely Contract, though the final arrangement may vary.

The role title carries no seniority level. Requirements describe a capable but not explicitly senior engineer (no years floor stated, no org-wide scope), so Mid is the assessed band.

The SOC is Medium confidence: the role blends software engineering (building APIs, microservices, cloud deployment) with ML/data science work (model training, LLM fine-tuning, RAG). Primary day-to-day emphasis on building and deploying AI applications tips it to Software Developers (15-1252), with Data Scientists (15-2051) as a plausible runner-up.

Git, CI/CD, Docker, and Kubernetes are explicitly called 'preferred' in the posting, so they are marked as preferred rather than required.

Vector database familiarity (Pinecone, Weaviate, Chroma, Azure AI Search) is framed as 'familiarity with' under the requirements section — a softer gate; marked preferred accordingly.

The secondary language requirement (C#, Java, JavaScript/TypeScript) is listed in the requirements section but as an 'at least one additional' option alongside Python, so it is captured as a preferred grouped skill rather than a hard gate on any specific language.

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

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