Knoxville, TN

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

What this job asks for AI summary

A senior-level engineering role focused on building and operating AI-powered systems end to end — from full-stack web applications using React-based frameworks and AWS backend services, to ML model deployment, MLOps pipelines, and generative AI features including multi-agent systems and retrieval-augmented generation. The position also carries a mentorship responsibility for junior engineers and involves cross-team collaboration on architecture and technical direction.

Senior level · 4+ years · Knoxville, TN · Full-time

Must have (6)
React · 4+ yrsNext.js · 4+ yrsTypeScript · 4+ yrsNode.js · 4+ yrsAWSLLMs
Nice to have (6)
RAGgRPCGraphQLTerraformPrometheusMLOps

Posted 2 times — it's one opening, so apply once.

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 20 people in the Knoxville, TN area plausibly meet what this posting asks for (software developers). range 10–30

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

What won't set you apart
React40%Node.js40%

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

What the occupation pays Median $124,427 (middle half $86,951–$148,178).

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 posting does not specify a work location beyond Pilot Company's headquarters in Knoxville, TN; no remote or hybrid language is present, so the role is treated as on-site in Knoxville.

The 4–6 year figure in the Qualifications section covers the full-stack requirement (React, Next.js, TypeScript, Node.js collectively); the overall years minimum is set to 4 (the lower bound of that range).

The 3+ years of ML engineering is a role-level experience gate tied to a discipline rather than a single named technology, so it is captured as a required skill with the years demanded of 3 rather than as a named tool.

Generative AI / LLM integration is firmly required ('Lead integration of LLM APIs and open-source models' appears in the responsibilities and 'deep understanding of generative AI systems' in qualifications); marked required.

RAG, gRPC, GraphQL, Terraform, CloudWatch, Prometheus, Grafana, and MLOps all appear in the responsibilities/job-description narrative rather than in an explicit requirements or qualifications block, so they are marked preferred.

No compensation figures are stated in the posting.

The role explicitly states candidates must be legally authorized to work in the US without employer sponsorship — no visa sponsorship available.

Ignored 1 non-technology phrase(s) as skills (responsibilities/concepts, not named tools): ML engineering.

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