1

Full Stack Ai Engineer Jobs in Missouri (NOW HIRING)

Sr. Full Stack Builder

Kansas City, MO ยท On-site

$150K - $165K/yr

Specific interest in applying software engineering fundamentals to AI systems. You care about ... Full-stack data and analytics chops. You're comfortable pulling data from a warehouse like ...

next page

Showing results 1-20

Full Stack Ai Engineer information

See Missouri salary details

$41.7K

$126.4K

$178.7K

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

As of Sep 11, 2026, the average yearly pay for full stack ai engineer in Missouri is $126,415.00, according to ZipRecruiter salary data. Most workers in this role earn between $104,100.00 and $148,200.00 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.

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.

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 popular job titles related to Full Stack Ai Engineer jobs in Missouri?

For Full Stack Ai Engineer jobs in Missouri, the most frequently searched job titles are:

What job categories do people searching Full Stack Ai Engineer jobs in Missouri look for?

The top searched job categories for Full Stack Ai Engineer jobs in Missouri are:

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

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

Infographic showing various Full Stack Ai Engineer job openings in Missouri as of August 2026, with employment types broken down into 75% Full Time, 21% Part Time, and 4% Contract. Highlights an 63% Physical, 4% Hybrid, and 33% Remote job distribution, with an average salary of $126,415 per year, or $60.8 per hour.

Full-Stack - AI Specialist

Saint Peters, MO โ€ข On-site

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 18 days ago


Job description

US Citizens or GC Holders only
Must be on W2 - no C2C
Direct - Hire - Local Applicants only
Seeking an experienced Full-Stack Developer to join its growing AI team. In this role, you'll help support, improve, and build the internal applications used every day by our claims, QA, and sales teams. Our current portfolio includes applications for paid-claims review, multi-vendor parts sourcing, outbound lead management, and representative training, built with Angular front ends and ASP.NET Core (.NET 10) APIs.
This role combines new development with ownership of applications already in production. You'll troubleshoot issues reported by users, improve performance and reliability, keep the technology stack current, build new features end to end, and maintain integrations with critical business systems. You'll also work with AI-enabled functionality, including applications that use LLMs and AI agents to review claims and score risk.
  • Support and improve production applications, resolving user-reported issues, performance bottlenecks, and edge cases
  • Build new features end to end using Angular, TypeScript, C#, and ASP.NET Core
  • Maintain and modernize applications through Angular upgrades, dependency updates, vulnerability patching, and database migrations
  • Diagnose and optimize slow queries and application performance
  • Maintain integrations with SQL Server, Microsoft Fabric, Salesforce, and third-party vendor APIs
  • Support and monitor LLM and AI-agent functionality embedded within production applications
  • Containerize and deploy applications using Docker and GitHub Actions
  • Support application authentication and access using Active Directory and LDAPS
  • Work within existing codebases, understand established design decisions, and make thoughtful, maintainable changes
  • Collaborate in a fast-moving environment where solutions are shipped, measured, and iterated based on real-world results
Requirements
  •  Strong full-stack software development experience in a production environment.
  • Hands-on experience with C# and ASP.NET Core/.NET.
  • Strong understanding of relational databases and SQL; SQL Server experience preferred.
  • Experience supporting and maintaining applications after production launch.
  • Ability to troubleshoot production issues, analyze existing code, and implement durable fixes.
  • Comfortable working from evolving requirements and independently driving features from development through deployment.
  • Experience with REST APIs and third-party system integrations.
  • Familiarity with Docker, CI/CD pipelines, and GitHub Actions preferred.
  • Experience with Active Directory, LDAP/LDAPS, or enterprise authentication preferred.
  • Experience with Microsoft Fabric and/or Salesforce integrations preferred.
  • Interest in building AI-enabled applications and working with LLMs or AI agents.
  • Must be able to work on-site in St. Peters, MO 5 days/week.
  • Bachelor's in Computer Science, Software Engineering, MIS, or equivalent experience.
 Pay Rate and Benefits
  • Salary commensurate with experience
  • Group Insurance (Medical, Dental, Vision, Life, etc.).
  • 401k with Employer Match.
  • Discounted Tuition at Lindenwood University.
  • Professional development opportunities.
  • Basketball, and other recreation available on-site.
  • Fitness facilities, with the option to take classes led by on-staff personal trainer (at St. Peters headquarters).
  • And more!