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Evening Fly In Fly Out Jobs in Tennessee (NOW HIRING)

NxT Level

Senior Full Stack Developer

Nashville, TN · On-site

Sniff out bottlenecks, redundancies, and paper cuts; replace them with lightweight automations ... Are fluent in a modern web stack (e.g., TypeScript/Node , Python , React/Next ; Postgres/Redis;

NxT Level

Senior Full Stack Developer

Nashville, TN · On-site

Sniff out bottlenecks, redundancies, and paper cuts; replace them with lightweight automations ... Are fluent in a modern web stack (e.g., TypeScript/Node , Python , React/Next ; Postgres/Redis;

Tidalwave

Print Shop Associate

Chattanooga, TN · On-site

You are not a cog in our machine. You are helping us build this plane while we fly it, and the people who are naturally curious tend to do really well here. * Be creative. We strive to have a work ...

Play Social Inc.

Playmaker

Nashville, TN · On-site

Thrives in a fast-paced, high-energy environment * Quick thinker who can adapt on the fly * Passionate about hospitality, entertainment, and creating memorable experiences * Committed to maintaining ...

Laborup

CNC Machinist

Oak Ridge, TN · On-site

$27 - $33/hr

Our parts fly on F-16s, orbit on the International Space Station, and spin in nuclear centrifuges ... Program Verification : Prove out MasterCam programs with engineering to improve efficiency.

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All JobsEvening Fly In Fly Out JobsEvening Fly In Fly Out Jobs in Tennessee

Evening Fly In Fly Out information

What is the difference between Evening Fly In Fly Out vs Night Shift Worker?

AspectEvening Fly In Fly OutNight Shift Worker
Work EnvironmentRemote or site-based, often in remote locations, with scheduled fly-in and fly-out rotationsOn-site, typically in factories, hospitals, or industrial settings, working overnight shifts
CredentialsVaries by industry; often requires specific certifications or licenses depending on the roleSimilar credentials depending on industry; may include safety or technical certifications
Employer & Industry UsageCommon in mining, oil & gas, and construction industriesCommon across manufacturing, healthcare, and industrial sectors

While both roles involve working during non-standard hours, Evening Fly In Fly Out workers typically travel to remote sites for scheduled rotations, whereas Night Shift Workers operate on-site during overnight hours. The choice depends on industry and work environment preferences.

What are the most commonly searched types of Fly In Fly Out jobs in Tennessee?

The most popular types of Fly In Fly Out jobs in Tennessee are:

What cities in Tennessee are hiring for Evening Fly In Fly Out jobs?

Cities in Tennessee with the most Evening Fly In Fly Out job openings:

Evening Fly In Fly Out jobs near you

Senior Full Stack Developer

NxT Level

Nashville, TN • On-site

Full-time

Re-posted 29 days ago

Job description

Full-Stack Software Engineer (Agents & Rapid Prototyping)
Location: Remote (US-friendly hours)
Type: Full-time (founding/early engineer)
Team: Small, passionate, ego-free builders
Why this role
We're hunting for product-market fit. That means we ship POCs fast, test hypotheses daily, and aren't afraid to throw work away if the data says so. If you code for fun, ask "why" before "how," and love turning messy problems into scrappy automation that actually saves people time-this is your playground.
What you'll do
  • Prototype at lightning speed: Build and ship POCs, internal tools, and production features in days-not weeks.
  • Work with LLMs & SLMs: Integrate, evaluate, and fine-tune models; design agentic workflows that reduce manual work.
  • Automate the boring stuff: Sniff out bottlenecks, redundancies, and paper cuts; replace them with lightweight automations.
  • Balance build vs. buy: Pragmatically choose off-the-shelf services vs. custom code; optimize for speed, cost, and learning.
  • Own the stack end-to-end: APIs, data models, frontends, deployments, instrumentation, and on-call for what you build.
  • Collaborate without ego: Pair with design, product, and GTM to clarify the "why," define thin slices, and ship continuously.
  • Ruthlessly iterate: Be comfortable restarting weekly if needed; measure outcomes, not lines of code.

Outcomes (how we'll measure success)
  • 2-3 prod-quality launches/month from idea → shipped.
  • Clear learning loops: each release produces measurable signal (conversion, retention, time-saved).
  • Automation ROI: hours saved/team/week; decreased cycle time; reduced ops tickets.
  • Agent impact: at least one agent in steady use by internal or pilot users within first 60 days.

You might be a fit if you
  • Have 4+ years building full-stack products (or equivalent portfolio/hacker track record).
  • Are fluent in a modern web stack (e.g., TypeScript/Node, Python, React/Next; Postgres/Redis; REST/GraphQL).
  • Have shipped LLM/SLM features (tool use, RAG, function calling, evals, latency/cost tuning).
  • Can design simple, resilient backends; write clean, testable code; and deploy via CI/CD to a major cloud.
  • Love debugging with data: logs, traces, metrics; you instrument before you guess.
  • Communicate crisply, ask sharp questions, and default to action.
  • Thrive in ambiguity; you don't need a JIRA novella to start building.

Nice to have
  • Vector DBs, embeddings, prompt/version management, offline evals.
  • Agent frameworks (e.g., OpenAI tools, LangGraph, custom planners/executors).
  • Queueing/event systems (e.g., Kafka, SQS), WebSockets, streaming.
  • Security and privacy basics (authn/z, secrets, PII handling).
  • Experience with low-cost scrappy stacks (Cloudflare, Fly.io, Supabase, Firebase).

Our stack (evolving)
  • FE: React/Next.js, Tailwind, tRPC/GraphQL
  • BE: Node/TypeScript and/or Python FastAPI
  • Data: Postgres, Redis/Upstash, optional vector store
  • Infra: Vercel/Fly.io/Cloudflare + Docker; CI/CD (GitHub Actions)
  • AI: OpenAI, Anthropic, local SLMs when useful; evaluation harness + prompt/version control

How we work
  • Learn > Perfect: Ship thin slices, get signal, iterate.
  • Write it down: Short RFCs → prototype → user feedback within days.
  • Builder culture: No rockstars, no heroes-just ownership and curiosity.
  • Time-zone friendly: Async first; quick huddles when needed.

Interview flow
  1. Intro chat (30 min): goals, mindset, what great looks like.
  2. Builder exercise (home or live, 2-4 hrs): ship a tiny agent or automation; explain trade-offs.
  3. Technical deep dive (60 min): architecture, data modeling, reliability, AI evals/cost.
  4. Team fit (30 min): collaboration, feedback loops, "why before what."

Compensation
Competitive salary + meaningful equity. We optimize for ownership and impact.

Apply