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Remote Ai Engineer Jobs in Missouri (NOW HIRING)

Jobgether

$80K - $110K/yr

This role is designed for an experienced AI Engineer passionate about building innovative ... Remote work flexibility. * Professional growth opportunities in a fast-evolving technology ...

Koantek

Senior AI Engineer

Chesterfield, MO · Remote

$54.75 - $70.50/hr

Sr AI Engineer / Data Scientist / MLOps Consultant Location ... United States - Remote Employment Type: Full-Time and Contract We are seeking an experienced and ...

Kobie Marketing

AI Engineer

Saint Louis, MO · Remote

Join a National Top Workplace Named a Top Workplace in the USA and Top Remote Workplace, Kobie is ... We're looking for a hands-on AI Engineer to ship on that platform: building agent harnesses ...

Jobgether

$79K - $104K/yr

Working at the intersection of engineering, AI, and design, you will collaborate closely with ... Fully remote work environment with flexibility to work from anywhere. * Generous paid vacation ...

Jobgether

You will contribute to shaping an AI-native platform while working in a remote, collaborative, and fast-moving environment. Accountabilities The AI Product Engineer will take ownership of building ...

Jobgether

$80K - $110K/yr

Our partner is looking for a Senior AI Research Engineer based in Netherlands. This role offers the ... Excellent organizational, communication, and collaboration skills in a remote and international ...

Jobgether

Fully remote work environment with flexibility and autonomy. * Opportunity to work on cutting-edge AI infrastructure and solve complex engineering challenges. * Direct impact on the development of an ...

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Remote Ai Engineer information

See Missouri salary details

$23

$50

$71

How much do remote ai engineer jobs pay per hour?

As of Aug 3, 2026, the average hourly pay for remote ai engineer in Missouri is $50.31, according to ZipRecruiter salary data. Most workers in this role earn between $40.58 and $58.41 per hour, depending on experience, location, and employer.

What is a remote AI engineer?

A Remote AI Engineer is a professional who designs, develops, and deploys artificial intelligence models and systems while working from a remote location. They use machine learning, deep learning, and data science techniques to build AI-powered applications, improve automation, and solve complex problems. Responsibilities often include data preprocessing, model training, fine-tuning, and integrating AI solutions into products or services. These engineers collaborate with cross-functional teams online, using cloud-based tools and platforms for development and deployment. Remote AI Engineers typically need strong programming skills in languages like Python, experience with frameworks like TensorFlow or PyTorch, and familiarity with cloud computing and MLOps.

What is it like collaborating with team members as a remote AI engineer?

As a Remote AI Engineer, collaboration typically occurs through virtual meetings, code reviews, shared documentation, and messaging platforms like Slack or Teams. You will work closely with data scientists, product managers, and software engineers to define requirements, design solutions, and integrate AI models into products or services. Strong communication and proactive reporting are highly valued to ensure project alignment and seamless progress. Effective collaboration in a remote setting not only enhances project outcomes but also fosters professional growth and a sense of team cohesion.

What are the most commonly searched types of Ai Engineer jobs in Missouri? The most popular types of Ai Engineer jobs in Missouri are:
What are popular job titles related to Remote Ai Engineer jobs in Missouri? For Remote Ai Engineer jobs in Missouri, the most frequently searched job titles are:
What job categories do people searching Remote Ai Engineer jobs in Missouri look for? The top searched job categories for Remote Ai Engineer jobs in Missouri are:
What cities in Missouri are hiring for Remote Ai Engineer jobs? Cities in Missouri with the most Remote Ai Engineer job openings:
Remote Ai Engineer jobs near you
Infographic showing various Remote Ai Engineer job openings in Missouri as of July 2026, with employment types broken down into 73% Full Time, 16% Part Time, and 11% Contract. Highlights an 100% Remote job distribution, with an average salary of $104,636 per year, or $50.3 per hour.

AI Engineer, Sr 1

Jobgether

On-site, Remote

$80K - $110K/yr

Full-time

Posted 6 days ago

Job description

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a AI Engineer, Sr 1 based in Netherlands.

This role is designed for an experienced AI Engineer passionate about building innovative, production-ready artificial intelligence solutions.
You will contribute to the design and development of advanced AI systems powered by Large Language Models and modern cloud technologies.
The position focuses on creating intelligent digital experiences through scalable AI services, agentic workflows, and secure enterprise integrations.
You will work on challenging projects involving model deployment, optimization, retrieval systems, and AI-powered applications.
The role offers the opportunity to collaborate with multidisciplinary teams while shaping the future of AI-driven products.
You will have significant ownership in delivering reliable, high-performing AI solutions that create measurable business impact.

Accountabilities:

The AI Engineer will be responsible for designing, developing, and optimizing AI-powered solutions while ensuring scalability, reliability, and strong engineering practices. The role requires a balance of technical expertise, problem-solving skills, and collaboration across teams.

  • Design, develop, and enhance AI-powered applications, including intelligent chatbot experiences and enterprise AI solutions.
  • Integrate and deploy open-source Large Language Models (LLMs) within secure private cloud environments.
  • Build and maintain scalable Python backend services supporting AI-driven interactions and workflows.
  • Design and implement agentic AI workflows, including tool integrations, context retrieval, database querying, and external API communication.
  • Optimize AI model performance, latency, scalability, and reliability across GPU-based environments.
  • Integrate AI solutions with cloud platforms and existing infrastructure to support production deployments.
  • Monitor, evaluate, and continuously improve AI systems using LLM evaluation techniques and performance optimization methods.
  • Develop reliable, production-grade AI solutions while collaborating with technical and non-technical stakeholders.
  • Contribute to system design decisions and promote best practices for AI engineering.
Requirements:

The ideal candidate brings strong experience in AI engineering, backend development, and deploying intelligent systems at scale. They should demonstrate technical ownership, strong analytical thinking, and the ability to collaborate effectively in complex environments.

  • Strong professional experience in AI engineering, particularly with Large Language Models (LLMs).
  • Hands-on experience with open-source AI frameworks such as Hugging Face Transformers.
  • Proven experience deploying AI models on GPU infrastructure.
  • Strong Python backend development skills for AI services and APIs.
  • Experience with LLM engineering patterns, including:
    • Tool calling and structured outputs.
    • Retrieval systems and context management.
    • Streaming responses and real-time AI interactions.
  • Experience building real-time chat systems using HTTP streaming technologies such as SSE or similar solutions.
  • Experience integrating AI systems with databases, APIs, and external services to enable intelligent decision-making.
  • Familiarity with Azure cloud services, especially Azure AI and related infrastructure.
  • Knowledge of AI model optimization techniques, including quantization, inference optimization, and scalability strategies.
  • Understanding of modern software engineering practices and production system design.
  • Strong problem-solving and system architecture skills.
  • Ability to communicate clearly with both technical and business stakeholders.
  • High level of ownership, accountability, and focus on delivering reliable solutions.

Nice to have:

  • Experience with frontend technologies such as React or Next.js.
  • Experience developing user-facing conversational interfaces.
  • Experience with advanced AI evaluation frameworks and production monitoring practices.
Benefits:
  • Competitive salary based on skills, qualifications, experience, and location.
  • Comprehensive benefits package.
  • Opportunity to work on innovative AI-driven projects with real-world impact.
  • Collaboration with a diverse and international team.
  • Remote work flexibility.
  • Professional growth opportunities in a fast-evolving technology environment.
  • Exposure to cutting-edge AI technologies and enterprise-scale solutions.
  • Inclusive workplace culture focused on innovation and continuous learning.
How Jobgether works:
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
 Why Apply Through Jobgether? 
 
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
 
 
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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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