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Ai Agent Developer Jobs in Kentucky (NOW HIRING)

$150 - $300/hr

... premier AI agent lab for the enterprise. Hence, what we're proudest of is assembling the most ... The Role As an AI Adoption Engineer you are a technically fluent, commercially aware practitioner ...

New

$90 - $130/hr

... AI|Agent Engineering Overview The Infosys Engineering unit is dedicated to amplifying product-centric value delivery through innovative engineering solutions. We focus on adopting a data-first ...

New

$197.71/hr

Senior GenAI Engineer****Location: Charlotte, NC****Work Arrangement: Hybrid (3 Days Onsite / 2 ... Experience with Google Vertex AI, RAG architectures, and AI agent frameworks.Key Responsibilities*

New

$95 - $135/hr

... AI|Agent Engineering Overview The Infosys Engineering unit is dedicated to amplifying product-centric value delivery through innovative engineering solutions. We focus on adopting a data-first ...

New

AI Engineer

Louisville, KY · On-site

$50K - $112K/yr

... agent workflows using frameworks such as LangGraph to automate multi-step reasoning, integrate tools and APIs, and deliver scalable, context-aware solutions - Applying generative AI techniques ...

Senior AI Engineer

Louisville, KY · On-site

$100K - $137K/yr

Develop, test, and maintain backend services supporting AI agent execution, orchestration, and tool ... Experience with DevOps tools and practices, including GitHub, CI/CD pipelines, Docker, Kubernetes ...

Senior AI Engineer

Louisville, KY · On-site

$100K - $137K/yr

Develop, test, and maintain backend services supporting AI agent execution, orchestration, and tool ... Experience with DevOps tools and practices, including GitHub, CI/CD pipelines, Docker, Kubernetes ...

Senior AI Engineer

Louisville, KY · On-site

$117K - $155K/yr

Develop, test, andmaintainbackend services supporting AI agent execution, orchestration, and tool ... Experience with DevOps tools and practices, including GitHub, CI/CD pipelines, Docker, Kubernetes ...

$192 - $264/hr

Experience designing and shipping internal developer tooling or platform infrastructure that measurably improved developer velocity. * Hands-on experience with AI-agent-driven or LLM-powered ...

New

$120 - $180/hr

The team builds the first AI agent to manage customers' most important assets. This role leads the ... You will partner with engineers on prompt strategies, evaluation frameworks, and guardrails that ...

New

$180 - $240/hr

Experience building agentic coding tools , AI agent frameworks, or developer-facing SDKs/APIs (Claude Agent SDK, OpenAI Agents SDK) * Experience with Vercel ecosystem -- Next.js, AI SDK providers ...

New

$129 - $194/hr

Deep understanding of the AI Agent paradigm, including hands‑on experience with LLMs, prompt engineering, agentic loop design, and retrieval‑augmented generation (RAG). * Experience driving ...

$150 - $210/hr

AI Agent & Workflow Transformation: Partner directly with Tax leadership to re-engineer core tax processes--including compliance, risk identification, and global reporting--into automated, 'AI-first ...

New

$133 - $161/hr

Practical experience working with AI coding agents and agentic engineering workflows (e.g., agent-driven code generation, automated review, agent-orchestrated operational tasks) as part of a modern ...

New

$180 - $225/hr

As a Frontier Agent Engineer (Applied AI) , you'll bridge the gap between cutting-edge AI research and production deployment. You'll work directly with enterprise customers to design, evaluate, and ...

New

Showing results 21-40

Ai Agent Developer information

See Kentucky salary details

$25.2K

$41.6K

$86.4K

How much do ai agent developer jobs pay per year?

As of Aug 19, 2026, the average yearly pay for ai agent developer in Kentucky is $41,629.00, according to ZipRecruiter salary data. Most workers in this role earn between $29,500.00 and $44,300.00 per year, depending on experience, location, and employer.

What is an AI agent developer?

An AI Agent Developer designs, builds, and optimizes intelligent software agents that can autonomously perform tasks, make decisions, and interact with users or other systems. This role involves working with machine learning, natural language processing, reinforcement learning, and multi-agent systems to create adaptive and efficient AI solutions. Developers in this field often utilize frameworks like LangChain, AutoGPT, or OpenAI API to enhance agent capabilities. Their work spans various industries, including customer service automation, finance, gaming, and robotics.

What are some common challenges faced by AI agent developers in their daily work?

AI Agent Developers often encounter challenges such as managing large and complex datasets, optimizing agent performance, and ensuring models behave ethically and reliably in unpredictable environments. It’s common to iterate frequently on prototypes, test against edge cases, and fine-tune algorithms based on real-world feedback. Collaboration with data scientists, software engineers, and stakeholders is crucial to understand project goals and adapt solutions accordingly. Overcoming these challenges requires technical flexibility, persistence, and a strong teamwork mindset.

What are the key skills and qualifications needed to thrive in the AI agent developer position, and why are they important?

To thrive as an AI Agent Developer, you need strong programming skills (particularly in Python), a deep understanding of machine learning concepts, and a relevant degree in computer science or a related field. Expertise with AI development frameworks (such as TensorFlow, PyTorch, or OpenAI Gym), cloud platforms, and potentially certifications in AI or data science are common requirements. Creative problem-solving, effective teamwork, and strong communication skills help distinguish top performers in this role. These competencies are essential to designing, implementing, and refining intelligent agents that function reliably in real-world applications.

How to become an AI agent developer?

To become an AI agent developer, you should have a strong foundation in programming languages such as Python, experience with machine learning frameworks like TensorFlow or PyTorch, and knowledge of AI concepts such as natural language processing and reinforcement learning. Gaining relevant education through degrees or online courses and building a portfolio of AI projects can also enhance your qualifications.

Is an AI Agent Developer a good career?

An AI Agent Developer is a promising career path in the technology industry, focusing on creating intelligent systems that can perform tasks autonomously. It typically requires skills in programming, machine learning, and AI frameworks, with strong job growth prospects due to increasing demand for automation and AI solutions. The role offers opportunities for innovation and specialization in emerging technologies.

What are the most commonly searched types of Ai Agent Developer jobs in Kentucky?

The most popular types of Ai Agent Developer jobs in Kentucky are:

What are popular job titles related to Ai Agent Developer jobs in Kentucky?

For Ai Agent Developer jobs in Kentucky, the most frequently searched job titles are:

What job categories do people searching Ai Agent Developer jobs in Kentucky look for?

The top searched job categories for Ai Agent Developer jobs in Kentucky are:

What cities in Kentucky are hiring for Ai Agent Developer jobs?

Cities in Kentucky with the most Ai Agent Developer job openings:

Infographic showing various Ai Agent Developer job openings in Kentucky as of August 2026, with employment types broken down into 75% Full Time, 22% Part Time, and 3% Contract. Highlights an 70% Physical, 3% Hybrid, and 27% Remote job distribution, with an average salary of $41,629 per year, or $20 per hour.

AI Adoption Engineer - West

Traversal

On-site

$150 - $300/hr

Other

Medical

Posted yesterday

New


Job description

About Traversal

Traversal is the AI Site Reliability Engineer (SRE) for the enterprise—already trusted by some of the largest companies in the world to troubleshoot, remediate, and even prevent the most complex production incidents. Our mission is to free engineers from endless firefighting and enable them to focus on creative, high-impact work.

Our roots remain deeply embedded in AI research, and we're channeling that scientific rigor and creativity into building the premier AI agent lab for the enterprise. Hence, what we're proudest of is assembling the most talented yet nicest group of individuals, including researchers from MIT, Harvard, and Berkeley, to world-class engineers from industry: Citadel Securities, Cockroach Labs, Datadog, DE Shaw, ServiceNow, Glean, Perplexity, Pinecone, and more, to take on one of the hardest problems for AI to solve. Without the entire team, none of this would be possible.

The Role

As an AI Adoption Engineer you are a technically fluent, commercially aware practitioner who moves a customer through four adoption phases — Activation, Scaling, Optimization, and Value Realization — and owns the outcome at each step. You will run enablement sessions, debug accuracy failures, engineer custom prompts, drive quarterly business reviews, gather product feedback, drive product changes, and surface expansion opportunities.

Traversal is an AI SRE platform that delivers root cause analysis and incident resolution with causal reasoning inside the workflows engineers already use — Slack, ServiceNow, and more. Our customers run some of the most demanding production systems on the planet: global financial networks, cloud-native infrastructure, mission-critical digital commerce.

We sell a consumption-based product. The selling never stops, and adoption work never stops. Every customer touchpoint is an opportunity to drive more usage — and more value. Today our Field Deployment Engineers own implementation. Once a customer is live, the next chapter begins: getting them to the point where Traversal is the first tool engineers reach for on every incident, renewal is a formality, and expansion is a natural conversation.

That chapter belongs to the AI Adoption Engineer (AAE).

Responsibilities Customer Ownership
  • Own all four adoption phases end-to-end for a portfolio of enterprise accounts, from first post-deployment kickoff through renewal signature.
  • Maintain a customer-specific 30/60/90 roadmap, updated weekly and reviewed in every customer sync.
  • Run every customer-facing meeting type in the process: kickoffs, team enablement sessions, bi-weekly product feedback calls, power-user 1:1s, weekly syncs, exec/leadership syncs, and Quarterly Business Reviews.
  • Publish a monthly async leadership update to each account’s executive sponsors — written, concise, and built on real usage data.
Technical Depth
  • Own customer-specific integrations, custom prompt engineering, and edge-case debugging for each assigned account.
  • Instrument and maintain accuracy tracking in collaboration with the customer — ensuring the dataset is customer-owned and credible, not vendor self-reported.
  • Identify and capture failure modes through power-user 1:1s, then work with the product team to translate them into roadmap items.
  • Debug and resolve platform issues surfaced during adoption, coordinating with engineering when needed.
  • Push for service-launch integration — getting Traversal wired into customer OAR/compliance checklists so every new service enables it by default.
Cross-Functional Contribution
  • Synthesize customer feedback into structured product roadmap input for engineering and product leadership.
  • Contribute to the adopt-traversal-sas cross-account Slack community, connecting power users across the customer base.
  • Maintain and update per-team enablement decks, keeping them current with each major release.
Requirements
  • 5+ years in a technical customer-facing role: solutions engineering, solutions architecture, technical account management, or customer success engineering at an enterprise software or infrastructure company.
  • Genuine technical depth — you can read logs, understand distributed systems failures, and have a point of view on why an AI agent produced a wrong root cause. You don't need to write production code daily, but you need to be credible in a room full of senior SREs.
  • Demonstrated ability to run executive-level conversations and engineer-level conversations in the same week with the same customer. You adjust without losing credibility at either level.
  • Experience driving adoption of a technical product with a complex, multi-stakeholder customer — not just managing the relationship, but actively changing how people work.
  • Strong written communication. Your monthly leadership updates, enablement decks, and QBR narratives will be the customer’s primary record of why Traversal is worth renewing.
  • Comfort with ambiguity and a builder’s instinct — this is an early-stage role; the playbook exists but you will extend it.
Nice to Have
  • Background in observability, AIOps, ITSM, or incident management — you understand the workflows Traversal lives inside.
  • Experience as an SRE or FDE
  • Experience with Slack-based enterprise workflows, ServiceNow, or Splunk as a practitioner or integrator.
  • Familiarity with consumption-based or credit-based SaaS pricing models and what they mean for customer behavior.
  • Prior experience at a company that sold to infrastructure, platform, or SRE teams at large enterprises.
  • Exposure to prompt engineering or AI product configuration — you don't need to be an ML engineer, but you should understand why a system prompt matters.
  • History of turning a skeptical power user into a champion — you have a story about this.
Compensation

We offer competitive compensation, startup equity, health insurance, and additional benefits. The U.S. base salary range for this full-time, in-person role in New York is $150,000 - $300,000 OTE, plus equity and benefits. Our salary ranges are based on location, level, and role. Individual compensation is determined by experience, skills, and job-related knowledge.

Why You Should Join Us

We'll make sure you're fully supported with health insurance, a great tech setup, flexible time off, and plenty of in-office snacks. We offer competitive salary and equity packages, and take thoughtful consideration with every hire on our small, high-impact team.

Working here means owning meaningful parts of the product, having the flexibility to move fast, and learning constantly. This is a place to grow your career, make a real impact, and help define a new category of infrastructure software.

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