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Associate 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 ...

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 ...

Artera

Associate AI Builder

Kansas City, MO

$80K - $140K/yr

ABOUT THE OPPORTUNITY Artera is hiring an Associate AI Builder to build the agentic systems that ... Requirements * 0 - 3 years of professional software engineering, data science, machine learning ...

Artera

Associate AI Builder

Kansas City, MO

ABOUT THE OPPORTUNITY Artera is hiring an Associate AI Builder to build the agentic systems that ... Requirements * 0 - 3 years of professional software engineering, data science, machine learning ...

Pwc

AI Engineer

Saint Louis, MO · On-site

$50K - $112K/yr

As an Associate, you will focus on learning and contributing to projects while developing your ... orchestrating AI agent workflows using frameworks such as LangGraph to automate multi-step ...

Pwc

AI Engineer

Kansas City, MO · On-site

$50K - $112K/yr

As an Associate, you will focus on learning and contributing to projects while developing your ... orchestrating AI agent workflows using frameworks such as LangGraph to automate multi-step ...

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All JobsAssociate Ai Agent Developer JobsAssociate Ai Agent Developer Jobs in Missouri

Associate Ai Agent Developer information

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

AspectAssociate Ai Agent DeveloperMachine Learning Engineer
Required CredentialsBachelor's in CS, AI, or related field; some certificationsBachelor's or Master's in CS, Data Science, or related; advanced certifications
Work EnvironmentTech companies, AI startups, R&D labsTech firms, AI companies, research institutions
Employer & Industry UsageDevelops AI agents, chatbots, virtual assistantsDesigns ML models, algorithms, data pipelines
Common Search & ComparisonOften compared for entry-level AI rolesMore advanced, research-focused roles

The Associate Ai Agent Developer typically focuses on building and maintaining AI agents like chatbots and virtual assistants, often at an entry to mid-level. In contrast, a Machine Learning Engineer develops complex ML models and algorithms, usually requiring more advanced skills and experience. Both roles are vital in AI development but differ in scope, complexity, and specialization.

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 Associate Ai Agent Developer jobs in Missouri?

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

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

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

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

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

Associate Ai Agent Developer jobs near you
Infographic showing various Associate Ai Agent Developer job openings in Missouri as of August 2026, with employment types broken down into 83% Full Time, 11% Part Time, and 6% Contract. Highlights an 77% In-person, 6% Hybrid, and 17% Remote job distribution.

Director, AI Platform Engineering

California, MO • On-site

Jobtailor
See more jobs at Jobtailorexternal

$250 - $360/hr

Other

Posted 9 days ago

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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