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Java Ai Developer Jobs in Olathe, KS (NOW HIRING)

Varsity Tutors

Java Tutor

Overland Park, KS · Remote

$18 - $40/hr

Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ... Deep knowledge of Java syntax, object-oriented programming principles, inheritance, polymorphism ...

Varsity Tutors

Java Tutor

Kansas City, MO · Remote

$18 - $40/hr

Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ... Deep knowledge of Java syntax, object-oriented programming principles, inheritance, polymorphism ...

Conflux Systems

Lead AI Engineer

Kansas City, KS · On-site

$98K - $130K/yr

ML, Python, Java, Kafka) Location: Leawood, KS Description * Led App Development teams and are ... Experienced with modern DevOps best practices to ensure system reliability and maintainability.

SynergisticIT

Junior Java/C++ Developer

Olathe, KS · On-site

$63K - $82K/yr

The Misinformation being spread that AI is taking tech Jobs is misplaced. There is High Demand for ... We Focus on Java /Full stack/Devops and Data Science /Data Engineers/Data analysts/BI Analysts ...

Epiq

Lead AI Software Engineer

Overland Park, KS · On-site +1

NET), Java, or similar languages. * Familiarity with cloud platforms (Azure/AWS) and their AI ... Knowledge of tools like Docker, Kubernetes, MLFlow, and Azure DevOps. * Solid understanding of ...

Epiq

Lead AI Software Engineer

Kansas City, MO · Remote

NET), Java, or similar languages. * Familiarity with cloud platforms (Azure/AWS) and their AI ... Knowledge of tools like Docker, Kubernetes, MLFlow, and Azure DevOps. * Solid understanding of ...

Epiq

Lead AI Software Engineer

Overland Park, KS · Remote

NET), Java, or similar languages. * Familiarity with cloud platforms (Azure/AWS) and their AI ... Knowledge of tools like Docker, Kubernetes, MLFlow, and Azure DevOps. * Solid understanding of ...

Premier Tech Inc

Software Engineer

Kansas City, MO · Remote

Consultant Software Engineer Client: NAIC (National Association of Insurance Commissioners ... AI-assisted software development tools. Bonus Points * Experience modernizing legacy Java EE ...

Epiq

Lead AI Software Engineer

Kansas City, KS · Remote

NET), Java, or similar languages. * Familiarity with cloud platforms (Azure/AWS) and their AI ... Knowledge of tools like Docker, Kubernetes, MLFlow, and Azure DevOps. * Solid understanding of ...

Deloitte

Insurance Tech Senior Manager

Kansas City, MO · On-site

$110K - $152K/yr

Join our AI & Engineering team in transforming technology platforms, driving innovation, and ... Direct solution design and development in Gosu and Java, including product model configuration ...

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How much do java ai developer jobs pay per hour?

As of Jul 29, 2026, the average hourly pay for java ai developer in Olathe, KS is $54.81, according to ZipRecruiter salary data. Most workers in this role earn between $47.40 and $61.35 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Java AI Developer, and why are they important?

To thrive as a Java AI Developer, you need strong proficiency in Java programming, machine learning concepts, and a degree in computer science or a related field. Familiarity with AI frameworks (such as TensorFlow or Deeplearning4j), version control systems like Git, and experience with cloud platforms are typically required. Creative problem-solving, strong analytical thinking, and effective communication skills help developers collaborate and innovate in complex AI projects. These skills ensure the delivery of efficient, scalable AI solutions and foster productive teamwork in fast-evolving tech environments.

What are some common challenges faced by Java AI Developers when integrating machine learning models into existing enterprise systems?

One of the main challenges Java AI Developers encounter is ensuring seamless integration of machine learning models—often built with Python-based frameworks—into Java-based enterprise environments. This can involve using APIs, microservices, or platforms like TensorFlow Java and Deeplearning4j to bridge compatibility gaps. Additionally, developers must optimize model performance for scalability and real-time inference, which requires thorough testing and tuning. Effective collaboration with data scientists and DevOps teams is crucial to address deployment issues and maintain model accuracy in production.

What is a Java AI Developer?

A Java AI Developer is a software professional who designs, develops, and implements artificial intelligence solutions using the Java programming language. They build machine learning models, integrate AI features into applications, and work with frameworks and libraries suited for AI development in Java. Their role often involves data processing, algorithm development, and deploying scalable AI-powered applications. Java AI Developers may work in various industries such as finance, healthcare, or technology to create intelligent systems that help solve complex business problems.
What are popular job titles related to Java Ai Developer jobs in Olathe, KS? For Java Ai Developer jobs in Olathe, KS, the most frequently searched job titles are:
What job categories do people searching Java Ai Developer jobs in Olathe, KS look for? The top searched job categories for Java Ai Developer jobs in Olathe, KS are:
Java Ai Developer jobs near you
Infographic showing various Java Ai Developer job openings in Olathe, KS as of July 2026, with employment types broken down into 100% Contract. Highlights an 100% In-person job distribution, with an average salary of $114,006 per year, or $54.8 per hour.

Senior/Staff Forward Deployment Engineer (Java & AI Integration, Gen AI) - Full Time Role

Info Dinamica Inc

Overland Park, KS • On-site

$115K - $152K/yr

Other

Posted 5 days ago

Job description

Role: Senior / Staff Forward Deployment Engineer
Location/s: Bellevue, WA / Overland Park, KS / Frisco, TX (Hybrid 4 days a week onsite) - Travel: up to 25%
Job Type: Full Time

Notes from the client:
  • The role is part of the founding teamand requires strong technical expertise in Python, Golang, Java (mandatory), system design, and architecture, along with proven experience in AI integration, GenAI, AI agents, and LLMs.
  • The position is customer facing, requiring a technical engineer with excellent soft skills who can act as a mediator between business and technical teams, serving as a hands on communicator. The candidate must be able to start quickly.
  • LinkedIn should match the resume of the candidate.
Interview process:
4 rounds (Prescreening/ can share phone screening document) Live Coding Technical/Customer focused Interview Customer Evaluation)
About the Role:
Engineering | Senior Staff Individual Contributor | Founding Team
  • We are building client's founding Forward Deployment Engineering team, and we're looking for seasoned engineers to set the bar.
  • As a Senior/Staff FDE, you sit at the intersection of engineering and the customer.
  • You embed directly with internal business teams and external partners to take powerful platforms - AI/GenAI tools, data products, and custom integrations - and turn them into working solutions that deliver real outcomes.
  • You are part builder, part problem-solver, and part trusted advisor: writing production code one day, mapping a messy real-world workflow the next, and advising senior stakeholders on strategy by the end of the week.
  • This is a high-impact role for an experienced engineer who has done the work before, thrives in ambiguity, and operates with little oversight.
  • As one of the first FDEs, you won't just deploy solutions - you'll define how this team works: the playbooks, the standards, the tooling, and the bar for everyone who follows. You'll also mentor more junior engineers as the team scales.
What You'll Do:
  • Embed with internal teams and external customers to understand their workflows, pain points, and goals - then design and deploy solutions that fit.
  • Build production-quality code, integrations, and automations across AI/GenAI, data, and software platforms to solve concrete business problems.
  • Prototype rapid prototypes and proofs-of-concept, iterate based on direct user feedback, and move them into reliable, scalable production.
  • Integrate data pipelines, APIs, and third-party systems, handling the real-world messiness of enterprise environments.
  • Partner with end users and stakeholders - running demos, gathering requirements, troubleshooting live, and translating technical concepts into business value.
  • Feed recurring pain points and friction back to product and engineering teams to influence the core roadmap.
  • Monitor and improve solutions for reliability, performance, and adoption after launch - you own outcomes, not just deliverables.
  • Establish the playbooks, standards, and tooling for the FDE function, and mentor junior engineers as the team grows.
What You'll Bring:
  • Experience: 8+ years building and shipping software in production, including significant time owning complex, ambiguous projects end-to-end with minimal supervision.
  • Technical depth: Deep, hands-on programming expertise (e.g., Python, JavaScript/TypeScript, Java, or Go), strong system design judgment, and fluency working across the full stack and with APIs.
  • Platform fluency: Proven experience with data tools (SQL, pipelines, warehouses such as Snowflake/Databricks) and/or AI/GenAI tooling (LLMs, RAG, agentic workflows). You bring real breadth and adapt quickly to the right tool for the problem.
  • Customer-facing track record: A track record of customer-facing or forward-deployed work - you've shipped solutions directly with end users, navigated enterprise complexity, and earned the trust of senior stakeholders.
  • Leadership: You've led projects, set technical direction, and raised the bar for those around you - formally or informally.
  • Communication: Exceptional written and verbal communication; you translate fluidly between deep technical detail and executive-level business value.
  • Bias for action: You ship, learn, and iterate quickly at a high quality bar, and you bring order to ambiguous, fast-moving situations.
Nice to Have:
  • Experience deploying AI/ML or LLM-based solutions in an enterprise setting.
  • Cloud experience (AWS, Google Cloud Platform, or Azure) and familiarity with CI/CD and containerization.
  • Experience as a founding or early member of a new team or function.
  • Telecommunications or large-scale enterprise data domain knowledge.

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