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Langgraph Jobs in Tennessee (NOW HIRING)

Deloitte

Oracle Gen AI Manager

Nashville, TN

Experience with LangChain, LangGraph, NVIDIA NIM, or Hugging Face * Experience leading AI or ERP transformation programs for large enterprises The wage range for this role takes into account the wide ...

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 ...

NxT Level

Senior Full Stack Developer

Nashville, TN

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 ...

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All JobsLanggraph JobsLanggraph Jobs in Tennessee

Langgraph information

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 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 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 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:
What cities in Tennessee are hiring for Langgraph jobs? Cities in Tennessee with the most Langgraph job openings:
Langgraph jobs near you
Infographic showing various Langgraph job openings in Tennessee as of July 2026, with employment types broken down into 57% Full Time, 4% Part Time, and 39% Contract. Highlights an 92% In-person, 3% Hybrid, and 5% Remote job distribution.
Senior AI Engineer - Agentic Systems

Senior AI Engineer - Agentic Systems

DPR Construction

Nashville, TN • On-site

$100K - $138K/yr

Full-time

Posted 1 hour ago

DPR Construction rating

8.0

Company rating: 8.0 out of 10

Based on 37 frontline employees who took The Breakroom Quiz

21st of 80 rated construction

Job description

Job Summary:
DPR Construction is a forward-thinking general contractor specializing in technically complex and sustainable projects. They are seeking a Senior AI Engineer to build next-generation AI-based tools and agent systems, collaborating with cross-functional teams to ensure alignment between business needs and data architecture.
Responsibilities:
• Build end-to-end Gen AI solutions - develop, refine, and implement advanced Gen AI models and ensure the success delivery of projects
• Develop agents over our construction data estate, systems that answer non-trivial questions, take multi-step action against APIs and databases, and operate under governance constraints that matter.
• Tool-use and orchestration design in LangGraph: defining the right granularity of tools, the right state machines, and the right human-in-the-loop checkpoints for a domain where wrong answers have real-world consequences.
• Evaluation infrastructure for non-deterministic systems: building harnesses, golden datasets, and regression tests that let us ship agentic features with confidence. We treat eval as a first-class engineering problem, not an afterthought.
• Retrieval and knowledge architecture spanning Snowflake Cortex, vector search, and structured graphs over our project data. You'll make real decisions about when retrieval is the answer and when it isn't.
• Integration with our domain systems: partnering with engineers and analysts working on safety, operations, scheduling, and risk to turn agentic capabilities into tools superintendents and PMs use.
• Technical direction-setting across the Agentic AI track: design reviews, architectural guidance, raising the bar on what 'production-ready' means for agents, and mentoring engineers earlier in their agentic AI journey.
• Collaborate with stakeholders, presenting findings to a non-technical audience and providing strategic recommendations.
• Ensure the scalability, reliability, and security of AI solutions by implementing best practices for AI model development, deployment, and maintenance.
Qualifications:
Required:
• 6+ years of production software engineering, with at least 2 years building LLM-powered systems in a production setting.
• Demonstrated experience designing and shipping agentic systems using LangChain and LangGraph or comparable frameworks.
• Strong Python engineering fundamentals: testing, packaging, performance, and the parts of the stack that aren't glamorous.
• Practical experience with retrieval architectures (vector stores, hybrid search, reranking) and with at least one major cloud data platform.
• Track record of evaluation work, you can describe specific eval systems you've built and what they caught that ad-hoc testing missed.
• Excellent written and verbal communication, with experience presenting technical work to non-technical stakeholders.
Preferred:
• Snowflake and Snowflake Cortex (Cortex Search, AI_COMPLETE, Cortex Analyst).
• Experience with knowledge graphs or graph-augmented retrieval.
• Familiarity with construction, AEC, or other physical-industry domains.
• Experience working under AI governance frameworks like model risk, responsible AI, intake processes.
• Open-source contributions to the LangChain/LangGraph ecosystem or related agentic tooling.
Company:
DPR Construction is a national commercial building contractor and construction manager. Founded in 1990, the company is headquartered in Redwood City, USA, with a team of 5001-10000 employees. The company is currently Late Stage.

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Hours and flexibility

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