ZipRecruiter

Log In

1

Coding Assistant Jobs in Kentucky (NOW HIRING)

previous pagenext page

Showing results 21-40

All JobsCoding JobsCoding Assistant JobsCoding Assistant Jobs in Kentucky

Coding Assistant information

See Kentucky salary details

$7

$16

$25

How much do coding assistant jobs pay per hour?

As of Aug 9, 2026, the average hourly pay for coding assistant in Kentucky is $16.72, according to ZipRecruiter salary data. Most workers in this role earn between $9.81 and $23.17 per hour, depending on experience, location, and employer.

What is a coding assistant?

A Coding Assistant helps developers by providing code suggestions, debugging support, and automating repetitive programming tasks. They may use AI-powered tools or manual techniques to improve code quality and efficiency. Their role often includes reviewing code, writing documentation, and assisting in troubleshooting errors. Coding Assistants can work in various industries, supporting software engineers and development teams.

Can I get a remote coding assistant job?

Yes, many companies offer remote coding assistant positions that involve helping developers with coding tasks, debugging, or documentation. These roles often require strong programming skills, familiarity with relevant tools, and good communication abilities, and they can typically be performed on flexible schedules from any location.

What skills and qualifications are needed to be a coding assistant?

To excel as a Coding Assistant, you need a solid understanding of programming languages, basic software development principles, and problem-solving abilities, often supported by a degree or coursework in computer science. Familiarity with development environments, version control systems like Git, and code editors is typically expected, with some employers valuing coding bootcamp certificates. Strong communication, attention to detail, and a willingness to learn are important soft skills for supporting development teams and collaborating effectively. These capabilities ensure Coding Assistants can contribute efficiently, maintain code quality, and foster a productive team environment.

What does a coding assistant do?

As a Coding Assistant, your typical responsibilities may include writing and testing code, debugging simple issues, assisting with software documentation, and supporting more senior developers on various projects. You might also be tasked with code reviews, performing research for solutions, or maintaining version control repositories. Most Coding Assistants work closely with software engineers, designers, and quality assurance teams, gaining valuable exposure to the full development lifecycle. This hands-on experience builds foundational skills for advancing into more technical roles in software development.

What are the most commonly searched types of Coding jobs in Kentucky? The most popular types of Coding jobs in Kentucky are:
What are popular job titles related to Coding Assistant jobs in Kentucky? For Coding Assistant jobs in Kentucky, the most frequently searched job titles are:
What job categories do people searching Coding Assistant jobs in Kentucky look for? The top searched job categories for Coding Assistant jobs in Kentucky are:
What cities in Kentucky are hiring for Coding Assistant jobs? Cities in Kentucky with the most Coding Assistant job openings:
Coding Assistant jobs near you
Infographic showing various Coding Assistant job openings in Kentucky as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 19% Part Time, 1% Temporary, and 5% Contract. Highlights an 98% Physical, 1% Hybrid, and 1% Remote job distribution, with an average salary of $34,771 per year, or $16.7 per hour.

Senior Software Engineer Applied AI

Advanced Monitored Caregiving Inc.

Louisville, KY • On-site

$140 - $190/hr

Other

Posted 25 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.

#J-18808-Ljbffr

Apply