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Intern Ai Agent Developer Jobs in Missouri (NOW HIRING)

Jobtailor

Director, AI Platform Engineering

California, MO · On-site

$250 - $360/hr

Champion developer experience through APIs, SDKs, documentation, and self-service tooling * Ensure AI agent platform security, compliance, and audit requirements Requirements * 10+ years in software ...

New

Delan Associates, Inc

AI Agentic Tester

Denver, MO · On-site +1

Test RAG pipelines, prompt engineering, and AI agent orchestration. Execute API testing using Postman, Swagger, and REST APIs. Develop and maintain automation scripts using Python, Selenium ...

Delan Associates, Inc.

AI Agentic Tester

Denver, MO · On-site +1

Test RAG pipelines, prompt engineering, and AI agent orchestration. * Execute API testing using Postman, Swagger, and REST APIs. * Develop and maintain automation scripts using Python, Selenium ...

Jobgether

$80K - $110K/yr

You will work on building intelligent agent architectures that remain effective across different ... Working alongside multidisciplinary AI and engineering teams, you will help transform research ...

EnerSys

Senior Finance AI & Automation Developer

Grandview, MO · On-site +1

$95K - $119K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

AI Agent & Chatbot Projects * AI Workflow Projects * Predictive Modeling Projects * Educate Finance ... Bachelors' degree in Engineering, Technology field, and/or Finance or equivalent * Project ...

EnerSys

Senior Finance AI & Automation Developer

Kansas City, MO · On-site +1

$95K - $119K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

AI Agent & Chatbot Projects * AI Workflow Projects * Predictive Modeling Projects * Educate Finance ... Bachelors' degree in Engineering, Technology field, and/or Finance or equivalent * Project ...

Lightedge

Sr. AI Integration Engineer

Kansas City, MO

$101K - $136K/yr

AI Agent, Harness & Workflow Development: Design, develop, and maintain production-grade AI agents ... Engineering Standards: Contribute to codebases, deployment pipelines, support practices, and ...

Jobgether

  • Medical

Own the architecture decisions required to bring AI agent systems into production and ensure the ... Experience building internal platforms, developer tools, or automation systems that achieved strong ...

Pwc

AI Engineer

Saint Louis, MO · On-site

$50K - $112K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... agent workflows using frameworks such as LangGraph to automate multi-step reasoning, integrate tools and APIs, and deliver scalable, context-aware solutions - Applying generative AI techniques ...

Fluence

$42.75 - $56.75/hr

Evaluate new LLM and agent capabilities continuously and translate them into practical, governed ... Demonstrated experience with LLM APIs, prompt engineering, or AI agent frameworks - you have built ...

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All JobsIntern Ai Agent Developer JobsIntern Ai Agent Developer Jobs in Missouri

Intern Ai Agent Developer information

What does an Intern AI Agent Developer do?

An Intern AI Agent Developer assists in designing, developing, and testing artificial intelligence agents, which are software programs capable of performing tasks that typically require human intelligence. Their responsibilities may include writing code, training machine learning models, analyzing data, and supporting senior developers in research or project work. Interns in this role gain hands-on experience with AI frameworks and tools while learning best practices in software engineering and artificial intelligence development.

What types of projects and tasks can an Intern AI Agent Developer expect to work on during their internship?

As an Intern AI Agent Developer, you will typically collaborate with experienced engineers and data scientists to design, develop, and test components of AI-driven systems. Your daily tasks may include writing and debugging code, assisting in training machine learning models, and running experiments to evaluate agent performance. Interns often contribute to documentation, participate in code reviews, and may even help implement features under supervision. This role provides a hands-on learning environment where you can develop both technical and teamwork skills, while gaining exposure to the latest AI development tools and practices.

What are the key skills and qualifications needed to thrive as an Intern AI Agent Developer?

To thrive as an Intern AI Agent Developer, you need a solid understanding of programming languages like Python, basic knowledge of machine learning concepts, and enrollment in or completion of a relevant degree such as computer science. Familiarity with tools and frameworks such as TensorFlow, PyTorch, Git, and cloud platforms is typically expected. Curiosity, strong problem-solving skills, and the ability to collaborate within a team help you stand out. These skills are crucial for successfully contributing to AI projects, learning quickly in a dynamic field, and effectively supporting development teams.

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

AspectIntern Ai Agent DeveloperIntern Machine Learning Engineer
Required CredentialsRelevant coursework, basic programming skills, familiarity with AI toolsRelevant coursework, programming skills, understanding of ML algorithms
Work EnvironmentTech companies, AI startups, research labsTech companies, research institutions, AI startups
Employer & Industry UsageAI development teams, chatbot and virtual assistant projectsData science teams, predictive modeling projects

Intern Ai Agent Developers focus on building and improving AI agents like chatbots and virtual assistants, often requiring knowledge of AI frameworks. Intern Machine Learning Engineers work on developing ML models for various applications, emphasizing data handling and algorithm implementation. Both roles are common in tech and AI industries, but they differ in specific focus areas and skill sets.

What are the most commonly searched types of Ai Agent Developer jobs in Missouri?

The most popular types of Ai Agent Developer jobs in Missouri are:

What are popular job titles related to Intern Ai Agent Developer jobs in Missouri?

For Intern Ai Agent Developer jobs in Missouri, the most frequently searched job titles are:

What job categories do people searching Intern Ai Agent Developer jobs in Missouri look for?

The top searched job categories for Intern Ai Agent Developer jobs in Missouri are:

What cities in Missouri are hiring for Intern Ai Agent Developer jobs?

Cities in Missouri with the most Intern Ai Agent Developer job openings:

Intern Ai Agent Developer jobs near you

Director, AI Platform Engineering

Jobtailor

California, MO • On-site

$250 - $360/hr

Other

Posted yesterday

New

Job description

  • Define and execute the technical roadmap for the AI agent platform, including multi-agent orchestration, LLM routing, tool integration, and observability
  • Architect enterprise-grade multi-tenancy, security, and scalability
  • Drive platform standardization across LangGraph, MCP, and AG-UI protocols
  • Evaluate and integrate emerging AI technologies, LLM providers, inference optimizations, and agentic frameworks
  • Build, lead, and mentor a team of 8–15 platform engineers
  • Establish engineering best practices including code review, testing, CI/CD, and documentation
  • Foster technical excellence, ownership, continuous learning, prototyping, and delivery
  • Collaborate with product, data science, and business stakeholders
  • Own platform reliability, availability, performance SLAs, observability, alerting, incident response, and capacity planning
  • Deliver iterative platform capabilities through discovery-driven development
  • Manage dependencies across consuming teams and agent developers
  • Lead architectural decisions using structured frameworks such as DACI and ADR
  • Evaluate build-versus-buy-versus-integrate trade-offs
  • Champion developer experience through APIs, SDKs, documentation, and self-service tooling
  • Ensure AI agent platform security, compliance, and audit requirements
Requirements
  • 10+ years in software engineering
  • 5+ years in engineering leadership and management roles, managing managers or large teams
  • Deep experience building and operating production platforms, such as API, data, or ML platforms
  • Experience with multi-agent orchestration frameworks including LangGraph, CrewAI, and AutoGen
  • Strong knowledge of Model Context Protocol (MCP) or similar tool-integration standards
  • Hands-on expertise with LLM APIs including OpenAI, Anthropic, and AWS Bedrock
  • Experience with agent frameworks and prompt engineering
  • Strong systems design knowledge, including distributed systems, microservices, and event-driven architecture
  • Production cloud-native infrastructure experience at scale with Kubernetes, Docker, and Terraform
  • Python as primary backend language, including FastAPI and asynchronous patterns
  • Proven track record shipping platform products used by multiple internal or external teams
  • Experience leading technical strategy at the organizational level
  • Financial services or regulated-industry background preferred
  • Experience with SSE, WebSocket, or AG-UI preferred
  • Knowledge of data mesh/data platform architectures, GraphQL, dbt, or data catalogs preferred
  • Exposure to Module Federation or micro-frontend architectures preferred
  • Open-source contributions or AI/ML community leadership preferred
  • Experience scaling a platform from 0 to 1 through growth stages preferred
Core Competencies

Demonstrates expertise in architecting and executing AI agent platforms with a focus on multi-agent orchestration, security, and scalability. Proven ability to lead engineering teams, establish best practices, and drive platform reliability and performance.

Highest-signal resume keywords
  • 10+ Years In Software Engineering
  • 5+ Years In Engineering Leadership
  • Experience With Multi-Agent Orchestration Frameworks
  • Hands-On Expertise With LLM APIs
  • Production Cloud-Native Infrastructure Experience
ATS Optimization KeywordsHard Skills
  • Python
  • FastAPI
  • Kubernetes
  • Docker
  • Terraform
  • Multi-Agent Orchestration
  • Systems Design
  • Distributed Systems
  • Microservices
  • Event-Driven Architecture
Soft Skills
  • Team Leadership
  • Mentoring
  • Collaboration
  • Continuous Learning
  • Technical Excellence
Industry Keywords
  • Financial Services
  • Regulated Industry
  • Platform Reliability
  • Compliance
  • Audit Requirements
Tools & Technologies
  • LangGraph
  • CrewAI
  • OpenAI
  • Anthropic
  • AWS Bedrock
  • SSE
  • WebSocket
  • AG-UI
  • GraphQL
  • Dbt
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