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Langgraph Jobs in Tennessee (NOW HIRING)

Matthews

Staff Software Engineer (TN)

Nashville, TN · On-site

$170K - $220K/yr

Experience with LLMs, LangChain/LangGraph, and vector databases Salary Range - $170k-220k depending on capability level and industry experience svg]:px-3 text-sm tracking-[0.025rem] leading-[1.5rem ...

RevSpring Inc

Software Engineer II- Enrichment

Nashville, TN · On-site

$94K - $128K/yr

Python · BigQuery · GCP · AWS · Pulumi · LangChain/LangGraph · TypeScript · React · Docker · Git Minimum Requirements: Specific Job Skills: * Hands-on with Docker and cloud infrastructure ...

NxT Level

Senior Full Stack Developer

Nashville, TN · On-site

Agent frameworks (e.g., OpenAI tools, LangGraph, custom planners/executors). * Queueing/event systems (e.g., Kafka, SQS), WebSockets, streaming. * Security and privacy basics (authn/z, secrets, PII ...

NxT Level

Senior Full Stack Developer

Nashville, TN · On-site

Agent frameworks (e.g., OpenAI tools, LangGraph, custom planners/executors). * Queueing/event systems (e.g., Kafka, SQS), WebSockets, streaming. * Security and privacy basics (authn/z, secrets, PII ...

FedEx

Cloud Engineering Advisor

Memphis, TN · On-site

$49.75 - $66.50/hr

... LangGraph , or LlamaIndex . * Data Manipulation & Querying: High proficiency in SQL , BigQuery (including BigQuery ML) , and Python data libraries ( Pandas , Polars , PyArrow ). End-to-End ML ...

Helenoftroy

Sr. AI Analytics Engineer

Arlington, TN · Hybrid

Experience with Model Context Protocol (MCP), Semantic Kernel, LangChain, LangGraph, agent frameworks, tool-calling, plugins, or multi-agent orchestration. * Experience with Microsoft Fabric, Power ...

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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 Tennessee?

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

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

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

Langgraph jobs near you
Infographic showing various Langgraph job openings in Tennessee as of August 2026, with employment types broken down into 1% Internship, 93% Full Time, 1% Part Time, and 5% Contract. Highlights an 77% Physical, 6% Hybrid, and 17% Remote job distribution.

Agentic AI Engineer - Nashville, TN, Kansas City, KS, Denver, CO, Phoenix, AZ, St. Louis, MO.

TechniPros, LLC

Nashville, TN • On-site

Other

Posted 23 days ago

Job description

Job Title: Agentic AI Engineer
Location: Nashville, TN, Kansas  City, KS, Denver, CO, Phoenix, AZ, St. Louis, MO.
Duration: 12+ Months
Looking for W2 candidates. No C2C

Job Summary:

We are seeking a Lead Agentic AI Engineer to build enterprise-grade AI agents capable of autonomous reasoning, planning, and execution using modern LLM frameworks. The candidate will architect scalable AI applications leveraging RAG, MCP, LangGraph, and cloud AI platforms.

Required Skills:

·        Strong hands-on experience with Agentic AI architectures.

·        Expertise in LangGraph, LangChain, CrewAI, or AutoGen.

·        Experience implementing MCP (Model Context Protocol).

·        Strong knowledge of Retrieval-Augmented Generation (RAG).

·        Experience with OpenAI GPT-4.x, Claude, Gemini, or Llama models.

·        Strong Python programming experience.

·        Experience with FastAPI, REST APIs, and Microservices.

·        Knowledge of Vector Databases (Pinecone, Weaviate, Qdrant, Milvus).

·        Experience deploying applications on Azure or AWS.

·        CI/CD experience using GitHub Actions, Azure DevOps, or Jenkins.

Preferred Skills:

·        AI memory management.

·        Multi-agent collaboration.

·        Enterprise workflow automation.

·        Kubernetes and Docker.

·        AI Security & Guardrails.

Mandatory Skills:

Agentic AI, LangGraph, CrewAI, MCP, RAG, Python, OpenAI, Claude, Gemini, Vector Databases, FastAPI, REST APIs, Azure/AWS.

Best Regards:

Tanuja P
Phone:
Email:

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