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Ai Integration Engineer Jobs in Kansas (NOW HIRING)

Epiq

Lead AI Software Engineer

Overland Park, KS · On-site +1

Epiq is seeking a highly skilled Lead AI Software Engineer to join our Operations Engineering team ... Integrate GenAI and LLMs into applications via APIs and microservices. * Collaborate with product ...

Banyan Software

CTO / Engineering Leadership -- Vertical SaaS (Talent Community) Remote | United States Let's Start ... You have led a meaningful technical transformation (a replatforming, an AI integration, a product ...

Epiq

Lead AI Software Engineer

Overland Park, KS · Remote

Epiq is seeking a highly skilled Lead AI Software Engineer to join our Operations Engineering team ... Integrate GenAI and LLMs into applications via APIs and microservices. * Collaborate with product ...

Epiq

Lead AI Software Engineer

Kansas City, KS · Remote

Epiq is seeking a highly skilled Lead AI Software Engineer to join our Operations Engineering team ... Integrate GenAI and LLMs into applications via APIs and microservices. * Collaborate with product ...

Shield AI

Propulsion Test Engineer (R4380)

Wichita, KS

$150K - $230K/yr

Shield AI is a venture-backed defense-tech company with the mission of protecting service members ... Support engine, hover, static, and integrated propulsion test campaigns for X-BAT including ...

Human Agency

Design workflows for large-scale data processing that enable efficient AI integrations and create ... Experience in DevOps, CI/CD pipelines, and secure release management. * Background in security ...

Propio

AI/LLM Safety Engineer

Leawood, KS · On-site

We are seeking an AI/LLM Safety Engineer to join our AI team and take ownership of how safely our ... Integrate safety checks into CI/CD and runtime so that unsafe behavior is intercepted before it ...

CrowdStrike

This role requires significant hands-on experience in LLM integration, agentic workflows, and agent ... for AI services. * Actively mentor engineers, conducting technical workshops, leading design ...

Propio

AI/LLM Safety Engineer

Overland Park, KS

Integrate safety checks into CI/CD and runtime so that unsafe behavior is intercepted before it ... AI Act) and the ability to translate compliance requirements into concrete engineering tasks.

Auvik Networks

Work closely with the Data Engineer to define what data the AI layer needs, in what shape, and at what freshness, and integrate against the retrieval and pipeline infrastructure they build.

Temporal Technologies

... Engineer - Agent Optimization Temporal provides a reliable foundation powering AI leaders such as ... Other team members build ecosystem integrations or develop policy and security systems. If you ...

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All JobsAi Integration Engineer JobsAi Integration Engineer Jobs in Kansas

Ai Integration Engineer information

See Kansas salary details

$39.7K

$110.8K

$154.7K

How much do ai integration engineer jobs pay per year?

As of Aug 9, 2026, the average yearly pay for ai integration engineer in Kansas is $110,835.00, according to ZipRecruiter salary data. Most workers in this role earn between $92,800.00 and $124,900.00 per year, depending on experience, location, and employer.

What are some common challenges faced by AI integration engineers when deploying machine learning models into existing business systems?

AI Integration Engineers often encounter challenges such as ensuring compatibility between machine learning models and legacy systems, managing data privacy and security, and optimizing model performance for real-time applications. They must also address issues related to model scalability and monitoring, as well as facilitate smooth collaboration between data science, IT, and business teams. Overcoming these challenges requires strong problem-solving skills, effective communication, and a deep understanding of both AI technologies and enterprise infrastructure.

What are the key skills and qualifications needed to thrive as an AI integration engineer, and why are they important?

To thrive as an AI Integration Engineer, you need a solid background in computer science, programming (Python, Java, or similar), and experience with AI/ML frameworks, often supported by a bachelor's degree in a related field. Familiarity with cloud platforms (such as AWS, Azure, or Google Cloud), API development, and tools like TensorFlow or PyTorch is typically required. Strong problem-solving abilities, collaboration, and clear communication are essential soft skills for bridging technical and business needs. These competencies ensure successful deployment and seamless integration of AI solutions into existing systems, driving innovation and business value.

What is the difference between Ai Integration Engineer vs Data Scientist?

AspectAi Integration EngineerData Scientist
Required CredentialsBachelor's in CS, Engineering, or related; certifications in AI/ML toolsBachelor's or higher in CS, Statistics, or related; advanced degrees common
Work EnvironmentDeveloping and deploying AI solutions, integrating AI APIs into applicationsAnalyzing data, building predictive models, interpreting complex datasets
Employer & Industry UsageTech companies, AI service providers, software firmsResearch institutions, tech companies, finance, healthcare

While both roles involve AI, the Ai Integration Engineer focuses on implementing and integrating AI solutions into applications, whereas the Data Scientist analyzes data to develop models and insights. The roles often overlap but differ mainly in their primary focus: deployment versus analysis.

What is an AI integration engineer?

AI Integration Engineers are professionals who specialize in implementing artificial intelligence solutions into existing systems, products, or workflows. They work closely with data scientists, software developers, and business teams to ensure that AI models and technologies are effectively deployed and seamlessly integrated. Their responsibilities often include customizing AI tools, developing APIs, ensuring data compatibility, and monitoring performance post-integration. These engineers play a crucial role in bridging the gap between AI research and practical business applications.

Are AI Integration Engineers highly paid?

AI Integration Engineers typically earn higher-than-average salaries due to their specialized skills in AI systems, programming, and data analysis. Compensation varies based on experience, location, and industry, but they are generally well-compensated compared to many other engineering roles.
What are popular job titles related to Ai Integration Engineer jobs in Kansas? For Ai Integration Engineer jobs in Kansas, the most frequently searched job titles are:
What job categories do people searching Ai Integration Engineer jobs in Kansas look for? The top searched job categories for Ai Integration Engineer jobs in Kansas are:
Ai Integration Engineer jobs near you
Infographic showing various Ai Integration Engineer job openings in Kansas as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $110,835 per year, or $53.3 per hour.

Lead AI Software Engineer

Epiq

Overland Park, KS • On-site, Remote

Full-time

Posted 18 days ago

Epiq Systems rating

7.2

Company rating: 7.2 out of 10

Based on 37 frontline employees who took The Breakroom Quiz

135th of 223 rated it services

Job description

At Epiq, your work contributes to complex, global legal outcomes. You'll join a values-driven community where integrity guides decisions, relentless service sets the bar, and we thrive on big challenges together. We invest in your growth with enterprise-wide learning and mobility. We celebrate who you are, and we respect life beyond work with flexibility that's recognized externally. Enabled by modern platforms and AI, you'll do the most meaningful work of your career and see your impact at scale.
Job Description:
Epiq is seeking a highly skilled Lead AI Software Engineer to join our Operations Engineering team. This role is ideal for candidates who are passionate about building applied AI systems-not just writing code, but designing intelligent solutions that drive automation, efficiency, and innovation across legal operations.
You'll work at the intersection of software engineering and AI, leveraging modern technologies such as GenAI, LLMs, MCP servers, and agentic frameworks to build scalable, production-ready solutions. This role will also champion modern development practices and utilize Azure DevOps for agile delivery and ticketing.
Key Responsibilities
  • Design, develop, and deploy AI-driven features and intelligent agents for real-world use cases.
  • Integrate GenAI and LLMs into applications via APIs and microservices.
  • Collaborate with product owners, architects, and engineers to transition prototypes into scalable production systems.
  • Drive hyper automation initiatives by modernizing legacy automations using MCP servers and agentic frameworks.
  • Engineer robust, reusable components and services with a focus on performance, scalability, and cost-efficiency.
  • Apply prompt engineering techniques to optimize model interactions and outcomes.
  • Ensure compliance, security, and ethical standards in all AI development.
  • Document processes, architectures, and best practices in Epiq's internal knowledge base.
  • Integrate external products with Epiq's proprietary solutions.
  • Stay current with AI advancements and recommend tools, frameworks, and methodologies.

Qualifications & Experience
  • Hands-on experience with GenAI, model training, evaluation, and hyperparameter tuning.
  • Experience with MCP servers, agentic frameworks, and Retrieval-Augmented Generation (RAG).
  • Strong programming skills in Python, C# (.NET/ASP.NET), Java, or similar languages.
  • Familiarity with cloud platforms (Azure/AWS) and their AI services.
  • Experience with API development, microservices architecture, and CI/CD pipelines.
  • Knowledge of tools like Docker, Kubernetes, MLFlow, and Azure DevOps.
  • Solid understanding of software engineering principles, data structures, and algorithms.
  • Excellent communication skills and ability to present technical concepts to non-technical stakeholders.
  • Bachelor's degree in Computer Science or related field (or equivalent experience).

#LI-KS1 #LI-Remote
The Compensation range for this role is 120,000 to 170,000 USD annually and may be eligible for an annual bonus.
In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire.
Must be authorized to work in the United States for any employer.
Your specific salary will be determined based on several factors:
  • Location-based market rate for the role
  • Your abilities in relation to the job specification
  • Performance during screening and interview
  • Pay parity with the wider team in the considered location

Further details about the package will be provided during the initial screening call with the Talent Acquisition Team.
Click here to learn about Epiq's Benefits.
Epiq Leadership Compass
Fosters Relationships & Collaboration
Builds trust and alignment through open communication, shared goals, and strong partnerships to drive collective success.
  • Build trust-based partnerships
  • Nurture long-term relationships
  • Remove collaboration barriers
  • Celebrate cross-team success

Engages & Influences
Inspires action and alignment through clear communication, purposeful influence, and a compelling vision.
  • Use storytelling to build buy-in
  • Align communication with organizational goals
  • Guild alignment through strong engagement

Maximizes Performance
Sets and reinforces performance standards that drive results, ensure accountability, and align with Epiq's goals.
  • Use data to identify improvement opportunities
  • Make informed decisions
  • Align team goals with boarder strategy
  • Empower teams to manage their own goals
  • Translate vision into clear priorities
  • Prepare for disruptions with strong change management

Achieves Operational Success
Drives continuous improvement and operational excellence through smart processes, data insights, and quality execution.
  • Improve workflows for team efficiency
  • Use clear documentation and expectations
  • Resolve issues quickly using data and feedback

It is Epiq's policy to comply with all applicable equal employment opportunity laws by making all employment decisions without unlawful regard or consideration of any individual's race, religion, ethnicity, color, sex, sexual orientation, gender identity or expressions, transgender status, sexual and other reproductive health decisions, marital status, age, national origin, genetic information, ancestry, citizenship, physical or mental disability, veteran or family status or any other basis protected by applicable national, federal, state, provincial or local law. Epiq's policy prohibits unlawful discrimination based on any of these impermissible bases, as well as any bases or grounds protected by applicable law in each jurisdiction. In addition Epiq will take affirmative action for minorities, women, covered veterans and individuals with disabilities. If you need assistance or an accommodation during the application process because of a disability, it is available upon request. Epiq is pleased to provide such assistance and no applicant will be penalized as a result of such a request. Pursuant to relevant law, where applicable, Epiq will consider for employment qualified applicants with arrest and conviction records.

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