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Full Stack Ai Engineer Jobs in Kansas (NOW HIRING)

This is the engineering role for someone who sees the current AI moment not as hype but as ... Work across the full stack. Frontend, backend, infrastructure, LLM integration, agent frameworks ...

Work across the full stack, owning backend integrations and data access patterns end-to-end * Build ... You embrace AI-assisted development tools to ship faster without sacrificing quality. * Integration ...

Senior AI Engineer

Toronto, KS · On-site

$88.09 - $117.45/hr

The Opportunity ShyftLabs is looking for a Senior AI Engineer to sit at the intersection of AI/ML ... Experience working in Agile/Kanban environments with a strong grasp of the full SDLC Nice to Have

Full Stack development and maintenance of WordPress features using PHP, JavaScript/TypeScript, and ... Skilled in leveraging AI-assisted development tools (Claude, GitHub Copilot, or similar) to improve ...

Full Stack development and maintenance of WordPress features using PHP, JavaScript/TypeScript, and ... AI or business intelligence tools. * Strong understanding of SEO and SEO concepts, and how to ...

Full Stack development and maintenance of WordPress features using PHP, JavaScript/TypeScript, and ... AI or business intelligence tools. * Strong understanding of SEO and SEO concepts, and how to ...

$175K - $245K/yr

About the Role EnCharge AI is looking for an experienced AI Research Engineer to optimize deep ... Benchmark performance across different hardware and software stacks. * Stay updated with the latest ...

Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ... full-stack development roles and software engineering careers. * Conceptual Teaching & Problem ...

Web Development Tutor

Wichita, KS · Remote

$18 - $40/hr

Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ... full-stack development roles and software engineering careers. * Conceptual Teaching & Problem ...

... new, AI-native platforms. We are looking for collaborative, growth-minded Software Engineers to join us. Whether your background is in backend systems, modern frontend development, or full-stack ...

... new, AI-native platforms. We are looking for collaborative, growth-minded Software Engineers to join us. Whether your background is in backend systems, modern frontend development, or full-stack ...

Showing results 21-40

Full Stack Ai Engineer information

See Kansas salary details

$39.7K

$120.2K

$169.9K

How much do full stack ai engineer jobs pay per year?

As of Aug 14, 2026, the average yearly pay for full stack ai engineer in Kansas is $120,195.00, according to ZipRecruiter salary data. Most workers in this role earn between $99,000.00 and $140,900.00 per year, depending on experience, location, and employer.

What is a full stack AI engineer?

A Full Stack AI Engineer is a professional who develops and deploys artificial intelligence solutions across both the front-end and back-end of applications. They combine expertise in AI and machine learning with software engineering skills, allowing them to build, integrate, and maintain AI-powered features throughout the entire technology stack. Their responsibilities often include designing machine learning models, integrating them with APIs, and ensuring seamless user experiences on web or mobile platforms. Full Stack AI Engineers bridge the gap between data science and software development, enabling scalable and production-ready AI applications.

How do full stack AI engineers typically collaborate with data scientists and front-end developers on AI-driven projects?

Full Stack AI Engineers often serve as the bridge between data scientists, who develop machine learning models, and front-end developers, who build user interfaces. They work closely with data scientists to understand the model requirements and deployment needs, and with front-end teams to ensure seamless integration of AI functionalities into applications. This collaboration requires effective communication skills and a clear understanding of both the technical and user experience aspects. Regular meetings, code reviews, and shared documentation are common practices to facilitate smooth teamwork and successful project outcomes.

What are the key skills and qualifications needed to thrive as a full stack AI engineer?

To thrive as a Full Stack AI Engineer, you need strong programming skills (such as Python, JavaScript), understanding of machine learning algorithms, and experience with both front-end and back-end development, often supported by a degree in computer science or related fields. Familiarity with frameworks like TensorFlow or PyTorch, cloud platforms (AWS, Azure, GCP), and containerization tools (Docker, Kubernetes) is typically required. Excellent problem-solving abilities, collaboration, and effective communication are standout soft skills in this role. These skills and qualifications enable the seamless integration of AI models into scalable applications, ensuring innovative and robust solutions.

What cities in Kansas are hiring for Full Stack Ai Engineer jobs?

Cities in Kansas with the most Full Stack Ai Engineer job openings:

Infographic showing various Full Stack Ai Engineer job openings in Kansas as of August 2026, with employment types broken down into 76% Full Time, 19% Part Time, and 5% Contract. Highlights an 67% Physical, 4% Hybrid, and 29% Remote job distribution, with an average salary of $120,195 per year, or $57.8 per hour.

Full-time, Contractor

Re-posted 14 days ago


Job description

Location: Remote (U.S. or Canada)

Type: US Applicants - Full-Time; Canadian Applicants - Independent Contractor

About Human Agency

We're scaling rapidly and have a growing pipeline of opportunities that demand exceptional talent across disciplines. Our mission is to bring on individuals, from creative producers to technical experts to entrepreneurial leaders, who can help us realize this next chapter of growth.

We are a company of doers. Leaders roll up their sleeves, teams work flat, and everyone contributes to what ships. Titles don't insulate us from feedback or basics. We invite critique, learn quickly, and keep raising the bar. The best ideas win here, no matter where they come from, because clients trust us to deliver the strongest outcomes every time.

Our clients' missions, products, and bottom lines are sacred. We immerse ourselves in their world, becoming stewards of their goals and partners in solving big problems. Every product, strategy, or asset we create must be both beautiful and functional; practical, usable, and designed for real-world impact.

Humans are our most valuable resource, and we only grow by hiring people who push us forward. Across strategy, engineering, design, data, and operations, we seek out teammates who raise the bar and make us better. Always hire up, never down.

We partner with organizations of all sizes to explore, design, and implement AI strategies that are secure, scalable, and human-centered. We believe AI should amplify human potential, not replace it, and we build with that conviction in every engagement. From advisory and tooling to implementation and education, we meet clients where they are and help them integrate AI in ways that align with their mission and values. Our goal is to empower teams to work smarter, move faster, and unlock new possibilities through thoughtful, responsible innovation.

And through it all, we lead with purpose, love, and adventure. We do meaningful work with people we care about, and we make the ride an adventure worth taking. Because at Human Agency, who we are and how we work are one and the same.

The Opportunity

You're not here to build traditional software. You're here to build AI-native products and systems that fundamentally change how work gets done - for our clients, our ventures, and our own operations. This is the engineering role for someone who sees the current AI moment not as hype but as infrastructure, and who has the skills and instinct to build on top of it before the rest of the world catches up.

We need someone who can architect agent-driven workflows that replace entire categories of manual work, ship production systems that integrate LLMs and orchestration frameworks at scale, and move with the speed required when the state of the art shifts every few weeks. You'll work directly with venture leads, client teams, and internal operators to turn ambitious ideas into deployed reality.

This role exists because we're building faster than we can hire, and the projects in our pipeline demand an engineer who doesn't need their hand held. You'll have autonomy, access, and the expectation that you'll use both to ship work that compounds in value over time.

What You'll Own
  • Ship AI-powered products and tools from zero to production. You'll design, build, and deploy systems for both internal operations and client-facing venture products - agent workflows, automation platforms, LLM-integrated applications, and tooling that didn't exist six months ago.
  • Architect systems that scale beyond demos. You're building real infrastructure, not prototypes. That means thinking through orchestration, error handling, observability, cost, and how things actually run in production when users depend on them.
  • Work across the full stack. Frontend, backend, infrastructure, LLM integration, agent frameworks - you move fluidly between layers and own the entire system, not just one piece of it.
  • Collaborate directly with venture and client teams. You'll work alongside founders, strategists, and operators to understand what needs to be built and why, then make technical decisions that serve the mission without waiting for permission.
  • Stay current and opinionated about the AI tooling landscape. The best tools from two months ago are already outdated. You know what's shipping, what's worth using, and what's just noise, and you bring that perspective into every build.
  • Push the boundary on what's possible with AI. You're not satisfied with prompt wrappers or surface-level integrations. You're here to explore what happens when you treat agents, models, and orchestration as foundational infrastructure, and you build accordingly.
Who You AreExperience & Skills
  • Strong software engineering foundation with experience building and shipping production systems - you understand how to write maintainable code, architect scalable services, and deploy software that people actually use.
  • Deep, hands-on experience building with LLMs, agent frameworks, and AI tooling - you've worked with OpenAI, Anthropic, or similar APIs, and you've integrated them into real products, not just demos or side projects.
  • Full-stack capability - you're comfortable working across frontend, backend, databases, APIs, and infrastructure, and you know when to go deep versus when to move fast.
  • Proven track record of AI projects you've built and shipped - we want to see your work. GitHub repos, deployed products, live demos, or detailed writeups of systems you've architected. Proof of work is non-negotiable.
  • Product sense and judgment - you don't just execute on specs. You understand why something matters, what should be built, and what can wait. You ask the right questions and make smart tradeoffs under ambiguity.
  • Familiarity with modern AI tooling and orchestration frameworks - whether it's LangChain, LlamaIndex, agent libraries, vector databases, or the next thing that just launched, you know the landscape and have opinions about what works.
Mindset & Traits
  • You're AI-pilled in the best way - you see the current moment as foundational, not hype, and you're building accordingly. You're not waiting for permission to explore what's possible.
  • You ship fast and iterate in public. You'd rather deploy something good today and improve it tomorrow than wait three weeks for perfect. You have strong instincts about when to move quickly and when to slow down.
  • You think in systems, not features. You're interested in building things that compound in value over time - tools that get more useful, workflows that unlock other workflows, infrastructure that enables future work.
  • You're comfortable with ambiguity and autonomy. You don't need a roadmap handed to you. You can take a problem, figure out what needs to be built, and make it happen with minimal oversight.
  • You care about craft but not at the expense of impact. You write clean code and build thoughtful systems, but you're not precious about it. Shipping something useful beats building something perfect.
  • You're curious, opinionated, and willing to be wrong. You have strong views on what's worth building and how to build it, but you update those views when you learn something new. You invite feedback and get better because of it.
Compensation & Logistics
  • This is a remote, full-time position open to candidates based in the US or Canada.
  • Compensation is competitive and commensurate with experience, including base salary, performance-based bonuses.
  • Some travel required for client engagements, team offsites, and collaborative working sessions.
Equal Opportunity Commitment

Human Agency is an Equal Opportunity Employer. We value diverse perspectives and are committed to building inclusive, high-performing teams where everyone can do their best work.