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Gen Ai Developer Jobs in Missouri (NOW HIRING)

... gen-AI copilots for insight discovery and explainer models that break down year-over-year ... engineering or other applicable field Essential Functions The requirements listed below are ...

(USA) Software Engineer III

Anderson, MO · On-site

$90K - $180K/yr

Familiarity with Gen AI productivity tools to optimize and expedite the development efforts * Bachelor's degree in Computer Science, Engineering, or a related field. About Walmart Global Tech: ...

(USA) Software Engineer III

Noel, MO · On-site

$90K - $180K/yr

Familiarity with Gen AI productivity tools to optimize and expedite the development efforts * Bachelor's degree in Computer Science, Engineering, or a related field. About Walmart Global Tech: ...

Familiarity with Gen AI productivity tools to optimize and expedite the development efforts * Bachelor's degree in Computer Science, Engineering, or a related field. About Walmart Global Tech: ...

Guide engineering teams in rapid prototyping and proof-of-concepts to validate new concepts ... Anticipate industry shifts (AI-scale, 1MW+ racks, OCP-HPR standards) and propose next-gen ...

Showing results 21-40

Gen Ai Developer information

See Missouri salary details

$17

$42

$94

How much do gen ai developer jobs pay per hour?

As of Aug 9, 2026, the average hourly pay for gen ai developer in Missouri is $42.48, according to ZipRecruiter salary data. Most workers in this role earn between $22.12 and $51.39 per hour, depending on experience, location, and employer.

What is a Gen AI developer?

A Gen AI Developer is a professional who designs, builds, and deploys applications using generative artificial intelligence models, such as large language models (LLMs) or image generators. They work with AI frameworks and APIs to create solutions that can generate text, images, code, or other content based on user input. Gen AI Developers often need skills in programming, machine learning, and prompt engineering, and they play a key role in building innovative AI-powered applications across various industries.

What is the difference between Gen Ai Developer vs Machine Learning Engineer?

AspectGen Ai DeveloperMachine Learning Engineer
Required CredentialsBachelor's or higher in CS, AI, or related fields; experience with AI frameworksBachelor's or higher in CS, Data Science, or related fields; strong programming skills
Work EnvironmentTech companies, AI startups, research labs focusing on generative AITech firms, data-driven companies, research institutions working on ML models
Employer & Industry UsagePrimarily in AI development, focusing on generative models and AI applicationsBroader industry use, including predictive modeling, data analysis, and automation

While both roles involve AI and machine learning skills, Gen AI Developers specialize in creating generative AI models like chatbots and content generators, whereas Machine Learning Engineers develop a wide range of ML algorithms for various applications. The roles often overlap but differ in focus and project types.

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

To thrive as a Gen AI Developer, you need a strong background in computer science, machine learning, and deep learning frameworks, often supported by a degree in a related field. Proficiency with tools such as Python, TensorFlow or PyTorch, and experience with cloud platforms like AWS or Azure, as well as relevant certifications, are commonly required. Critical thinking, creativity, and effective communication are essential soft skills for solving complex problems and collaborating with cross-functional teams. These competencies are vital for developing innovative AI solutions that drive business value and maintain technological competitiveness.

How can I become a Gen AI developer?

To become a Gen AI developer, you should gain strong programming skills in languages like Python, learn machine learning frameworks such as TensorFlow or PyTorch, and develop expertise in natural language processing and large language models. Building a portfolio of AI projects and obtaining relevant certifications can also enhance your qualifications for roles in this field.

What is the salary of a Gen AI developer?

The salary of a Gen AI developer typically ranges from $80,000 to $150,000 annually, depending on experience, location, and company size. Skilled developers with expertise in machine learning, deep learning, and AI frameworks like TensorFlow or PyTorch tend to earn higher salaries.

Is a Gen AI Developer a promising career?

A Gen AI Developer is a growing role focused on creating and improving generative artificial intelligence systems, requiring skills in machine learning, deep learning, and programming languages like Python. The demand for such developers is increasing across industries, making it a promising career with opportunities for advancement and specialization.

What are some common challenges Gen AI developers face when deploying models into production environments?

Gen AI Developers often encounter challenges such as ensuring model scalability, maintaining data privacy, and managing high computational requirements when deploying generative AI models. Integrating models with existing systems and monitoring for model drift or bias are also critical concerns. Close collaboration with DevOps, data engineering, and security teams is essential to build robust deployment pipelines and maintain reliable performance in real-world applications.
What are popular job titles related to Gen Ai Developer jobs in Missouri? For Gen Ai Developer jobs in Missouri, the most frequently searched job titles are:
What cities in Missouri are hiring for Gen Ai Developer jobs? Cities in Missouri with the most Gen Ai Developer job openings:
Infographic showing various Gen Ai Developer job openings in Missouri as of August 2026, with employment types broken down into 44% Full Time, and 56% Contract. Highlights an 89% In-person, and 11% Remote job distribution, with an average salary of $88,359 per year, or $42.5 per hour.

Cyber Forward Deployed Engineer - Consultant

Deloitte

Kansas City, MO • On-site

Other

Re-posted 13 days ago


Deloitte rating

8.2

Company rating: 8.2 out of 10

Based on 92 frontline employees who took The Breakroom Quiz

45th of 150 rated financial services


Job description

Deloitte Cyber understands the unique challenges and opportunities businesses face in cybersecurity. Deloitte's Cyber team helps our clients navigate the ever-changing threat landscape. We simplify complexity, and enable businesses to operate with resilience, grow with confidence, and proactively manage their security posture.

Recruiting for this role ends on 12/31/2026.

Work you'll do

1.       Solution Delivery & Engineering (Primary Focus)

Translate business and cybersecurity needs into high-quality technical solutions (including AI/GenAI-enabled capabilities where applicable), and deploy them for clients in alignment with their requirements and architecture

Identify, troubleshoot, and resolve technical issues within scope

2.       Pre-Sales & Deal Shaping

Partner with stakeholders to help shape technical solutions during pursuits, including leading demos/POCs/prototypes

Contribute to solution design, ensuring alignment between client needs and delivery feasibility.

3.       Product Feedback & Continuous Improvement

Capture and translate delivery learnings into actionable product or platform improvements, distinguishing reusable enhancements from client-specific needs.

Enable client teams through structured knowledge transfer, clear documentation, and practical runbooks.

The team

Deloitte's Cyber Engineering is a new team that is spearheading the buildout of Cybersecurity technology that will underpin the next generation of our Cybersecurity services. Join us as we work with technologies shaping the future of Cybersecurity to build future capabilities today.

Qualifications

Required:

  • 3+ years of experience in full stack software engineering, application development, or software product delivery
  • Bachelor's degree in Computer Science, Computer Engineering, Information Systems, or a technical field
  • Strong proficiency in JavaScript/TypeScript, HTML5, CSS3, and modern frameworks (React, Angular, or Next.js).
  • 3+ years' experience in Node.js, Python (Django/Flask), or Java (Spring Boot).
  • 3+ years' Experience with relational (e.g., PostgreSQL, MySQL) and NoSQL databases (e.g., MongoDB, Redis).
  • 3+ years' Experience building and integrating REST APIs, microservices, and serverless architectures.
  • 3+ years' Experience deploying applications on AWS, Azure, or GCP.
  • Familiarity with Docker, CI/CD pipelines, and development lifecycle tools (e.g., Git, Azure DevOps).
  • 1+ years of hands-on experience building and deploying GenAI/LLM-powered solutions in client or production environments
  • 1+ years of experience with one of the following Frontier Gen AI Platforms: Anthropic, Google or Open AI, including hands on experience with one of the following key platforms/products; Claude API, Claude for Enterprise, Claude Code, Gemini API, Vertex AI Agent Builder, Grounding, Google Workspace integration, GPT-4o, Assistants API, Responses API, OpenAI Agents SDK
  • AI system architectures and ability to align application pipelines to support them.
  • 1+ year of Client-Facing & Delivery experience
  • 1+ year experience working directly with business stakeholders to translate requirements into technical solutions.
  • Ability to travel 20%, on average, based on the work you do and the clients and industries/sectors you serve.
  • Limited immigration sponsorship may be available.

Preferred:

  • Familiarity with cybersecurity concepts (e.g., application security, cloud security, identity, detection engineering).
  • Experience with DevSecOps practices and secure software development lifecycle.
  • Exposure to search/analytics platforms (Elasticsearch/OpenSearch) or graph databases (Neo4j).
  • Knowledge of Kubernetes, GitOps, or advanced cloud-native patterns.
  • Cloud certifications (AWS, Azure, GCP).
  • Basic familiarity with ML frameworks (TensorFlow, PyTorch).

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $100,400 to $197,900.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

Qualifications:

Deloitte Cyber understands the unique challenges and opportunities businesses face in cybersecurity. Deloitte's Cyber team helps our clients navigate the ever-changing threat landscape. We simplify complexity, and enable businesses to operate with resilience, grow with confidence, and proactively manage their security posture.

Recruiting for this role ends on 12/31/2026.

Work you'll do

1.       Solution Delivery & Engineering (Primary Focus)

Translate business and cybersecurity needs into high-quality technical solutions (including AI/GenAI-enabled capabilities where applicable), and deploy them for clients in alignment with their requirements and architecture

Identify, troubleshoot, and resolve technical issues within scope

2.       Pre-Sales & Deal Shaping

Partner with stakeholders to help shape technical solutions during pursuits, including leading demos/POCs/prototypes

Contribute to solution design, ensuring alignment between client needs and delivery feasibility.

3.       Product Feedback & Continuous Improvement

Capture and translate delivery learnings into actionable product or platform improvements, distinguishing reusable enhancements from client-specific needs.

Enable client teams through structured knowledge transfer, clear documentation, and practical runbooks.

The team

Deloitte's Cyber Engineering is a new team that is spearheading the buildout of Cybersecurity technology that will underpin the next generation of our Cybersecurity services. Join us as we work with technologies shaping the future of Cybersecurity to build future capabilities today.

Qualifications

Required:

  • 3+ years of experience in full stack software engineering, application development, or software product delivery
  • Bachelor's degree in Computer Science, Computer Engineering, Information Systems, or a technical field
  • Strong proficiency in JavaScript/TypeScript, HTML5, CSS3, and modern frameworks (React, Angular, or Next.js).
  • 3+ years' experience in Node.js, Python (Django/Flask), or Java (Spring Boot).
  • 3+ years' Experience with relational (e.g., PostgreSQL, MySQL) and NoSQL databases (e.g., MongoDB, Redis).
  • 3+ years' Experience building and integrating REST APIs, microservices, and serverless architectures.
  • 3+ years' Experience deploying applications on AWS, Azure, or GCP.
  • Familiarity with Docker, CI/CD pipelines, and development lifecycle tools (e.g., Git, Azure DevOps).
  • 1+ years of hands-on experience building and deploying GenAI/LLM-powered solutions in client or production environments
  • 1+ years of experience with one of the following Frontier Gen AI Platforms: Anthropic, Google or Open AI, including hands on experience with one of the following key platforms/products; Claude API, Claude for Enterprise, Claude Code, Gemini API, Vertex AI Agent Builder, Grounding, Google Workspace integration, GPT-4o, Assistants API, Responses API, OpenAI Agents SDK
  • AI system architectures and ability to align application pipelines to support them.
  • 1+ year of Client-Facing & Delivery experience
  • 1+ year experience working directly with business stakeholders to translate requirements into technical solutions.
  • Ability to travel 20%, on average, based on the work you do and the clients and industries/sectors you serve.
  • Limited immigration sponsorship may be available.

Preferred:

  • Familiarity with cybersecurity concepts (e.g., application security, cloud security, identity, detection engineering).
  • Experience with DevSecOps practices and secure software development lifecycle.
  • Exposure to search/analytics platforms (Elasticsearch/OpenSearch) or graph databases (Neo4j).
  • Knowledge of Kubernetes, GitOps, or advanced cloud-native patterns.
  • Cloud certifications (AWS, Azure, GCP).
  • Basic familiarity with ML frameworks (TensorFlow, PyTorch).

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $100,400 to $197,900.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

Education:Bachelor's DegreeEmployment Type:

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