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Root Jobs in Kentucky (NOW HIRING)

Ascendo

Diagnostic Technician

Florence, KY · On-site

Analyze failed units and determine root causes using schematics, test procedures, and diagnostic tools. * Conduct functional testing and verification of repaired products. * Troubleshoot PCB-level ...

Lancesoft

EHS Specialist

Paris, KY · On-site

$30 - $32/hr

Support post-incident analysis to identify root causes and drive continuous improvement efforts Cross-Functional Collaboration * Support contractor safety programs and ensure alignment with site ...

Adient

2nd shift Controls Engineer

Georgetown, KY · On-site

$75K - $97K/yr

Participate in 8D or similar root-cause based problem solving tasks to ensure that abnormalities, when observed, are acted upon to resolve root-causes. * Contribute to specifications for equipment ...

Gentle Dental

Endodontist

Mount Washington, KY

As an Endodontist with Atlanta Gentle Dental, you will be responsible for diagnosing and treating issues related to the interior health of teeth, focusing on root canal treatments and other ...

New

Leadec Corp.

Maintenance III

Louisville, KY · On-site

Responsible for leading efforts in root cause analysis, problem solving, and elimination of recurring issues. Priority will be critical equipment that has greatest impact on downtime. * Responsible ...

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All JobsRoot JobsRoot Jobs in Kentucky

Root information

What skills and qualifications are needed to thrive as a root?

The job title 'Root' is not a recognized professional occupation, so there are no standard skills, qualifications, or requirements associated with it. Please specify a valid professional job title to receive accurate information.

What is a root?

In the context of computing and IT, 'Root' refers to the highest level of access or administrative privileges on a computer system, typically in Unix or Linux operating systems. A 'Root' job usually involves tasks performed by a system administrator with full control over the system, such as installing software, managing users, configuring security settings, and maintaining the operating system. Root access is powerful but should be used with caution, as improper use can compromise the security and stability of the system. Only trusted and experienced personnel are typically granted root privileges.

What are typical challenges faced by a root cause analyst in identifying and resolving recurring system issues?

A Root Cause Analyst often encounters challenges such as navigating complex system architectures, dealing with incomplete or inconsistent data, and collaborating across departments to gather necessary information. Pinpointing the true underlying cause of persistent issues can be time-consuming, as it requires thorough investigation, pattern recognition, and effective communication with technical and non-technical teams. However, these challenges also offer valuable opportunities to develop problem-solving skills, build cross-functional relationships, and drive impactful improvements within the organization.
What are popular job titles related to Root jobs in Kentucky? For Root jobs in Kentucky, the most frequently searched job titles are:
What job categories do people searching Root jobs in Kentucky look for? The top searched job categories for Root jobs in Kentucky are:
Root jobs near you
Infographic showing various Root job openings in Kentucky as of August 2026, with employment types broken down into 1% Internship, 87% Full Time, 6% Part Time, 5% Contract, and 1% Nights. Highlights an 91% Physical, 3% Hybrid, and 6% Remote job distribution.

Senior Software Engineer Applied AI

Advanced Monitored Caregiving Inc.

Louisville, KY • On-site

$140 - $190/hr

Other

Posted 24 days ago

Job description

Senior Software Engineer: Applied AI (Voice Agents & ML Systems) The pitch

We build and operate production AI voice agents that hold real phone conversations in a regulated healthcare setting, plus the machine learning and LLM pipelines around them. This is one seat that spans four disciplines that rarely come together: real‑time systems, LLM engineering, traditional machine learning, and serious cloud infrastructure, all in production, all with real consequences. If you are the kind of engineer who gets restless doing one thing, this role is the opposite problem.

What you’ll work across
  • Streaming, low‑latency speech‑to‑speech systems built on modern LLMs
  • Telephony and real‑time media (call control, live audio streaming)
  • Audio handling and the quirks of real human conversation (interruptions, timing, noise)
  • Concurrency on a latency‑sensitive path, where p99 matters and a stall is something a caller hears
  • Wrapping nondeterministic models in deterministic control so they behave reliably in production
  • Multi‑model pipelines, prompt design, and cost/latency budgeting
  • Evaluation harnesses, including LLM‑as‑judge and automated agent‑tests‑agent approaches
  • Agentic tooling that gives AI systems safe, structured access to infrastructure
Traditional (non‑LLM) machine learning
  • End‑to‑end ML pipelines: feature engineering, model training, and scheduled inference
  • Imbalanced, messy real‑world data; calibration and explainability for non‑technical consumers
  • Turning research notebooks into reproducible, auditable production pipelines
Cloud and infrastructure
  • Infrastructure as code across multiple environments (we run on AWS)
  • Managed compute, data, streaming, and orchestration services
  • Security engineering in a regulated setting: encryption, least‑privilege access, strict data‑handling discipline
  • Observability and telemetry‑driven debugging, tracing a production issue from a metric anomaly to root cause
Plus

Occasional full‑stack work on internal tools, and an engineering workflow that leans heavily on AI coding assistants, with human accountability for every change.

What you’ll actually do
  • Ship and debug code on a live, real‑time voice pipeline where latency and correctness are user‑facing
  • Design control systems around LLMs: guardrails, budgets, watchdogs, safe fallbacks
  • Build and operate LLM evaluation and batch‑analysis pipelines
  • Own traditional ML workflows from data to scheduled production inference
  • Trace production issues from a metric anomaly to root cause, including building the evidence when the cause is a vendor
Must‑haves
  • 7+ years building and operating production backend systems, with strong general‑purpose programming skills (we work primarily in Python)
  • Experience running distributed systems in the cloud; comfortable debugging from telemetry to root cause
  • Hands‑on production experience with LLMs or generative AI (any provider or framework), plus the judgment to know when not to use a model
  • Working fluency across the traditional machine learning lifecycle (you productionize; you do not need to publish)
  • Disciplined in a regulated environment: small, reviewable changes and careful handling of sensitive data
Nice‑to‑haves
  • Real‑time media or telephony experience
  • Front‑end / full‑stack ability
  • ML pipeline experience, vector search, or embeddings
  • Fluency with AI coding assistants (our workflows assume them, with human accountability for every change)
How we work

Smallest correct change wins. Every behavior change is validated against the live system. Evidence over opinion in debugging. Code review is rigorous. Safety and privacy gate everything.

This role is open only to US citizens and lawful permanent residents (Green Card holders). We cannot consider candidates who require visa sponsorship now or in the future, and we are unable to make exceptions of any kind.

How to apply
  • Your LinkedIn profile URL
  • A phone number where we can reach you

A resume is welcome but optional; the two items above are required.

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