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Ai Applications Engineer Jobs in Missouri (NOW HIRING)

$80K - $110K/yr

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

$80K - $110K/yr

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior AI/ML Engineer based in Netherlands. This is a senior-level ...

... applications - Managing data quality and infrastructure to support reliable AI operations - Engaging in continuous learning to adapt to new technologies and methodologies in AI engineering What You ...

AI Engineer

Kansas City, MO · On-site

$50K - $112K/yr

... applications - Managing data quality and infrastructure to support reliable AI operations - Engaging in continuous learning to adapt to new technologies and methodologies in AI engineering What You ...

... applications that enable governed, conversational access to enterprise data, and guides their ... Principal AI Engineer, LLM, Snowflake, Cortex AI, natural language to SQL, semantic data modeling ...

$100K - $120K/yr

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for an AI/ML & Forward Deployed Engineer based in Netherlands. This role ...

... applications that enable governed, conversational access to enterprise data, and guides their ... Principal AI Engineer, LLM, Snowflake, Cortex AI, natural language to SQL, semantic data modeling ...

... end AI applications. * Validate LLM responses for accuracy, relevance, consistency, and hallucination rates. * Test RAG pipelines, prompt engineering, and AI agent orchestration. * Execute API ...

... applications. Validate LLM responses for accuracy, relevance, consistency, and hallucination rates. Test RAG pipelines, prompt engineering, and AI agent orchestration. Execute API testing using ...

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Ai Applications Engineer information

What is an AI applications engineer?

AI Applications Engineers are professionals who design, develop, and integrate artificial intelligence (AI) solutions into software applications to solve real-world problems. They work closely with data scientists, software engineers, and business stakeholders to build and deploy machine learning models, automate processes, and enhance user experiences. Their responsibilities often include selecting appropriate AI technologies, writing code, testing models, and optimizing performance. AI Applications Engineers play a key role in translating AI research and prototypes into scalable and maintainable products used in industries like healthcare, finance, retail, and more.

What are the key skills and qualifications needed to thrive as an AI applications engineer?

To thrive as an AI Applications Engineer, you need strong programming abilities (Python, Java, or C++), a solid understanding of machine learning algorithms, and a relevant degree in computer science or engineering. Familiarity with AI frameworks (such as TensorFlow or PyTorch), cloud platforms, and data processing tools is typically required, along with certifications in machine learning or AI. Excellent problem-solving, collaboration, and communication skills help you translate business needs into effective AI solutions and work efficiently with cross-functional teams. These skills are critical for building scalable, reliable AI systems that deliver tangible value to organizations.

How does an AI applications engineer typically collaborate with data scientists and software developers on project teams?

As an AI Applications Engineer, you will often serve as a bridge between data scientists, who build and optimize machine learning models, and software developers, who integrate these models into production systems. Collaboration usually involves translating model requirements into scalable application features, ensuring model outputs align with user needs, and troubleshooting technical challenges that arise during deployment. Regular meetings, code reviews, and shared documentation are common practices to keep everyone aligned and ensure seamless integration. This cross-functional teamwork enhances both the technical robustness and usability of AI-powered applications.

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

AspectAi Applications EngineerData Scientist
Required CredentialsBachelor's in CS, Engineering, or related; knowledge of AI/ML toolsBachelor's or higher in CS, Statistics, or related; strong analytical skills
Work EnvironmentDevelops AI solutions, collaborates with engineering teamsAnalyzes data, builds models, interprets results
Employer & Industry UsageTech companies, AI startups, R&D departmentsFinance, healthcare, tech, research institutions

While both roles involve AI and data, Ai Applications Engineers focus on developing and deploying AI solutions in engineering contexts, whereas Data Scientists analyze data to extract insights. The roles often overlap but differ mainly in their primary focus and application environment.

What does an AI applications engineer do?

An AI applications engineer designs, develops, and implements artificial intelligence solutions to solve specific business problems. They work with machine learning models, data processing, and programming tools like Python or TensorFlow, often collaborating with data scientists and software developers to deploy AI systems effectively.

What are popular job titles related to Ai Applications Engineer jobs in Missouri?

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

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

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

What cities in Missouri are hiring for Ai Applications Engineer jobs?

Cities in Missouri with the most Ai Applications Engineer job openings:

Java AI Engineer

O Fallon, MO • On-site

$90K - $110K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 8 days ago


Job description

Role - Java AI Engineer
Experience Required - 5+ Years
We are seeking a highly skilled Java Developer with Agentic AI experience to design and develop next-generation Agentic AI applications. The ideal candidate will have strong expertise in Java, Spring Boot, backend development, and event-driven architectures, along with experience building AI-driven autonomous systems
Must Have Technical/Functional Skills
Java with Spring Boot (Mandatory)
Experience in developing Agentic AI applications (Mandatory)
Knowledge of SQL with Oracle and PostgreSQL (Mandatory)
Knowledge of REST API development and backend automation
Knowledge of Event-Driven Architecture
Knowledge of CI/CD concepts and Jenkins
Exposure to Kafka (Nice to Have)
Knowledge of Pivotal Cloud Foundry (Nice to Have)
Roles & Responsibilities
Design and develop Agentic AI applications using Java.
Develop scalable backend services using Java and Spring Boot.
Build and maintain REST APIs and backend automation solutions.
Work with Oracle and PostgreSQL databases for application development.
Implement event-driven architecture patterns in application design.
Participate in CI/CD processes using Jenkins.
Collaborate with cross-functional teams to deliver high-quality solutions.
Base Salary Range : $90,000 to $110,000 Per Annum
TCS Employee Benefits Summary:
Discretionary Annual Incentive.
Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans.
Family Support: Maternal & Parental Leaves.
Insurance Options: Auto & Home Insurance, Identity Theft Protection.
Convenience & Professional Growth: Commuter Benefits & Certification & Training Reimbursement.
Time Off: Vacation, Time Off, Sick Leave & Holidays.
Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.