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Langgraph Jobs in Missouri (NOW HIRING)

GLOBAL IT CON LLC

Senior AI/ML Engineer

Saint Louis, MO · On-site

$99K - $136K/yr

Key Responsibilities - Design and develop LLM-powered agents using LangGraph and LangChain frameworks - Build and enhance multi-agent orchestration pipelines with conditional routing, state ...

Jobtailor

Mid-Level AI Platform Engineer

California, MO · On-site

$150 - $190/hr

Build intelligent pipelines using frameworks such as LangChain, LangGraph, and Microsoft Foundry Agent Service * Evaluate solution performance, accuracy, and scalability of GenAI implementations

Jobtailor

Director, AI Platform Engineering

California, MO · On-site

$250 - $360/hr

Drive platform standardization across LangGraph, MCP, and AG-UI protocols * Evaluate and integrate emerging AI technologies, LLM providers, inference optimizations, and agentic frameworks * Build ...

New

Jobtailor

AI Software Engineer

Dearborn, MO · On-site

$110 - $150/hr

Transition from linear "chain" workflows to self-correcting agentic loops using frameworks like LangChain, LangGraph, or LlamaIndex to automate complex marketing analytics workflows. * Implement Tool ...

Jobtailor

Senior AI Engineer

California, MO · On-site

$120 - $190/hr

Hands‑on experience building with AI development tools such as MCP servers/clients, PydanticAI, LangGraph, LiteLLM, or similar AI platforms or tools * Background in developing infrastructure and ...

Exavalu

Principal Agentic AI Engineer

California, MO · On-site

$140 - $200/hr

LangGraph * AI Workflow Orchestration * REST APIs DevOps * Git * Deployment Automation Observability * OpenTelemetry * Performance Optimization Secondary Skills (Good to Have) * LangChain * CrewAI

MasterCard

Senior AI Engineer

O Fallon, MO · Hybrid

$97K - $134K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Roles & Responsibilities Architect and lead the development of multi-agent AI systems using frameworks such as LangGraph, CrewAI, and AutoGen - enabling autonomous reasoning, tool use, inter-agent ...

Equifax

AI Engineer

Saint Louis, MO · On-site

  • Medical

  • Retirement

  • PTO

Design, build, and deploy complex AI agents using LangChain and LangGraph. You will own the core logic that automates intricate decision-making within the claims lifecycle. * Master Prompt & Context ...

Equifax, Inc.

AI Engineer

Saint Louis, MO · On-site

$99K - $131K/yr

  • Medical

  • Retirement

  • PTO

Design, build, and deploy complex AI agents using LangChain and LangGraph. You will own the core logic that automates intricate decision-making within the claims lifecycle. * Master Prompt & Context ...

Mastercard, Inc.

Senior AI Engineer

O Fallon, MO · On-site

$97K - $134K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Roles & Responsibilities • Architect and lead the development of multi-agent AI systems using frameworks such as LangGraph, CrewAI, and AutoGen - enabling autonomous reasoning, tool use, inter ...

Walmart

(USA) Senior, Software Engineer

Anderson, MO · On-site

$90K - $180K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Integrate LangChain and LangGraph frameworks to orchestrate complex AI workflows and multi-agent systems. * Develop Agentic AI capabilities to automate decision-making and enhance data-driven ...

Walmart

(USA) Senior, Software Engineer

Noel, MO · On-site

$90K - $180K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Integrate LangChain and LangGraph frameworks to orchestrate complex AI workflows and multi-agent systems. * Develop Agentic AI capabilities to automate decision-making and enhance data-driven ...

Walmart

(USA) Senior, Software Engineer

Cassville, MO · On-site

$90K - $180K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Integrate LangChain and LangGraph frameworks to orchestrate complex AI workflows and multi-agent systems. * Develop Agentic AI capabilities to automate decision-making and enhance data-driven ...

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All JobsLanggraph JobsLanggraph Jobs in Missouri

Langgraph information

What is a Langgraph?

Langgraph is a framework designed to build, manage, and orchestrate complex workflows for large language models (LLMs). It allows developers to create directed graphs of language model prompts, tools, and custom logic, making it easier to design multi-step, stateful AI applications. Langgraph is especially useful for building conversational agents, automated workflows, and other applications that require LLMs to interact with data or tools in a structured way.

What are some common challenges faced by Langgraph developers when integrating their workflow with existing AI infrastructure?

Langgraph developers often encounter challenges when integrating their workflow with existing AI infrastructure, such as ensuring compatibility with various large language models and managing data flow across multiple APIs. Coordination with data engineers and machine learning specialists is crucial to align model outputs with business requirements, and adapting to rapidly evolving technologies can require continuous learning. Additionally, optimizing performance and maintaining security standards during integration are key considerations to ensure successful deployment.

What are the key skills and qualifications needed to thrive as a Langgraph engineer, and why are they important?

To thrive as a Langgraph engineer, you need a strong background in software engineering, proficiency in Python, and a solid understanding of AI/ML concepts, usually supported by a degree in computer science or a related field. Familiarity with machine learning frameworks (like TensorFlow or PyTorch), API integrations, and version control systems such as Git is essential. Effective problem-solving, collaboration, and clear communication are crucial soft skills for working with multidisciplinary teams and resolving complex issues. These capabilities are important because they enable the development, scaling, and maintenance of robust AI-driven applications using the Langgraph platform.

What is the difference between Langgraph vs Data Analyst?

AspectLanggraphData Analyst
Required CredentialsTypically requires knowledge of language processing and graph databasesUsually requires a degree in statistics, mathematics, or related fields
Work EnvironmentTech companies, AI research labs, data-driven organizationsBusiness, finance, healthcare, and marketing sectors
Industry UsageEmerging role in AI and NLP projectsEstablished role in data interpretation and reporting

While Langgraph focuses on language processing and graph database integration, Data Analysts primarily interpret and visualize data to support business decisions. Both roles require analytical skills, but Langgraph specialists often have a background in AI and NLP, whereas Data Analysts typically hold degrees in statistics or related fields.

What are popular job titles related to Langgraph jobs in Missouri?

For Langgraph jobs in Missouri, the most frequently searched job titles are:

What job categories do people searching Langgraph jobs in Missouri look for?

The top searched job categories for Langgraph jobs in Missouri are:

What cities in Missouri are hiring for Langgraph jobs?

Cities in Missouri with the most Langgraph job openings:

Langgraph jobs near you
Infographic showing various Langgraph job openings in Missouri as of August 2026, with employment types broken down into 92% Full Time, 1% Part Time, and 7% Contract. Highlights an 77% Physical, 6% Hybrid, and 17% Remote job distribution.

Senior AI/ML Engineer

GLOBAL IT CON LLC

Saint Louis, MO • On-site

$99K - $136K/yr

Other

Posted 4 days ago

Job description

Role:-Senior AI/ML Engineer

Location: St. Louis, MO (Locals only)

Duration:- Long term

We are looking for a skilled AI/ML Developer to join our agentic platform team. You will design, develop, and deploy LLM-powered agents and pipelines that directly serve field technicians in production. You will work closely with the platform architect and contribute to the core multi-agent orchestration system.

Key Responsibilities

- Design and develop LLM-powered agents using LangGraph and LangChain frameworks

- Build and enhance multi-agent orchestration pipelines with conditional routing, state management, and error recovery

- Develop RAG pipelines with hybrid search (semantic + keyword), re-ranking, and Reciprocal Rank Fusion

- Implement tool-calling agents with parallel API execution, sequential enrichment chains, and summarization

- Build real-time streaming capabilities (WebSocket / SSE) for conversational AI

- Integrate with Azure OpenAI APIs with circuit breaker patterns and fallback chains

- Implement prompt engineering and dynamic prompt management (DB-backed with in-memory caching)

- Design and implement multi-modal AI features (image analysis with vision models)

- Write production-quality Python code with error handling, logging, observability, and unit tests

- Participate in code reviews, architecture discussions, and sprint delivery

Required Skills & Experience

Must-Have

- 10+ years of software development with strong Python expertise in production environments

- 2+ years hands-on LLM development (LangChain, LangGraph, or equivalent frameworks)

- RAG pipeline experience - embeddings, vector search, re-ranking, answer generation

- LLM APIs - OpenAI Chat Completions, Responses API, streaming, tool calling

- Async Python - asyncio, httpx, FastAPI

- Prompt engineering - system prompts, few-shot, structured JSON output

- Circuit breaker patterns, retry logic, resilient service design

- PostgreSQL and async ORMs (SQLAlchemy async / Alembic)

- Git, CI/CD, Docker, Kubernetes basics

- Strong system design skills - microservices, distributed systems, API design

Nice-to-Have

- LangGraph StateGraph (conditional edges, node pipelines, compiled graphs)

- Multi-agent systems - orchestration, routing, RBAC-based access control

- Langfuse or similar LLM observability (tracing, token usage, latency)

- WebSocket and SSE streaming protocols

- Multi-modal AI (vision models, image analysis)

- Vector databases (OpenSearch, Pinecone, pgvector)

- AWS services (Aurora PostgreSQL, SSM, IAM, EKS)

- Telecommunications or field service domain experience

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