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Langgraph Jobs in Missouri (NOW HIRING)

$80K - $110K/yr

The role offers deep hands-on exposure to technologies such as Claude, LangGraph, RAG, vector databases, and MCP. You will shape modular AI architectures that can support intelligent agents and ...

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

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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:

Infographic showing various Langgraph job openings in Missouri as of August 2026, with employment types broken down into 1% Internship, 88% Full Time, 5% Part Time, and 6% Contract. Highlights an 77% Physical, 6% Hybrid, and 17% Remote job distribution.

Sr AI/ML Engineer local to St. Louis, MO

FEDRUS GLOBAL LLC

Saint Louis, MO โ€ข On-site

$99K - $136K/yr

Other

Posted 26 days ago


Job description

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.

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