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Langgraph Jobs in Utah (NOW HIRING)

Podium

Senior AI Engineer - Agentic

Lehi, UT

$98K - $134K/yr

Experience with modern agent frameworks such as LangGraph, CrewAI, or AutoGen, including multi-step reasoning, memory, and orchestration patterns. * Hands-on experience with fine-tuning and data ...

Podium

Staff AI Engineer - USA

Lehi, UT

Experience with modern agent frameworks such as LangGraph, CrewAI, or AutoGen, including multi-step reasoning, memory, and orchestration patterns. * Hands-on experience with fine-tuning and data ...

Extra Space Storage, Inc.

Sr. AI Engineer

Salt Lake City, UT · On-site

$118K - $156K/yr

LangGraph) • Experience designing distributed and containerized systems • Strong experience with AWS and Azure architecture, including multi-service integration • Experience with DynamoDB and ...

Podium

Staff AI Engineer - Utah

Lehi, UT

Experience with modern agent frameworks such as LangGraph, CrewAI, or AutoGen, including multi-step reasoning, memory, and orchestration patterns. * Hands-on experience with fine-tuning and data ...

Motivosity

AI Product Builder

Lehi, UT · On-site

Experience with OpenAI, Anthropic, Gemini, Bedrock, LangChain, LangGraph, Langfuse, LangSmith, Braintrust, or similar tools. * Experience building or consuming MCP servers / connectors. * Experience ...

Motivosity

AI Product Builder

Lehi, UT · On-site

Experience with OpenAI, Anthropic, Gemini, Bedrock, LangChain, LangGraph, Langfuse, LangSmith, Braintrust, or similar tools. * Experience building or consuming MCP servers / connectors. * Experience ...

Motivosity

AI Product Builder

Lehi, UT

Experience with OpenAI, Anthropic, Gemini, Bedrock, LangChain, LangGraph, Langfuse, LangSmith, Braintrust, or similar tools. * Experience building or consuming MCP servers / connectors. * Experience ...

Jade Global

Enterprise Architecture

Ogden, UT · On-site

$67.50 - $87/hr

... LangGraph, Crew.AI, and Model Context Protocol (MCP). * Drive the development of proprietary AI accelerators, frameworks, and reusable assets that differentiate Jade Global's service offerings in ...

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Showing results 21-40

All JobsLanggraph JobsLanggraph Jobs in Utah

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 Utah? For Langgraph jobs in Utah, the most frequently searched job titles are:
What job categories do people searching Langgraph jobs in Utah look for? The top searched job categories for Langgraph jobs in Utah are:
What cities in Utah are hiring for Langgraph jobs? Cities in Utah with the most Langgraph job openings:
Langgraph jobs near you
Infographic showing various Langgraph job openings in Utah as of July 2026, with employment types broken down into 57% Full Time, 5% Part Time, and 38% Contract. Highlights an 92% In-person, 3% Hybrid, and 5% Remote job distribution.
Senior AI Engineer - Agentic

Senior AI Engineer - Agentic

Podium

Lehi, UT

$98K - $134K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 7 days ago

Job description

The Role

Podium is looking for a talented Senior AI Engineer to help build and scale our AI Agent platform-a powerful system that autonomously interacts with customers, handling millions of conversations every month. In this role, you'll design and deliver the software that enables local businesses to manage complex customer interactions automatically, book more appointments, and serve their customers more effectively across multiple channels (e.g., voice, SMS, chat).

If you thrive in fast-paced, highly iterative environments, enjoy solving complex distributed systems challenges, and want to see your work drive immediate business impact, this role is for you!

What you will be doing

  • Build and scale the AI Agent platform - enabling high-volume, real-time conversational workflows that deliver accuracy and low latency at scale.
  • Design and implement APIs, services, and infrastructure that power multi-turn, cross-channel customer interactions.
  • Own the full lifecycle: architecture, implementation, deployment, and ongoing reliability.
  • Prototype rapidly, iterate with live interaction data, and continuously improve system performance and user experience.
  • Implement observability, monitoring, and operational best practices to ensure reliability in production, focusing on agent accuracy and latency.
  • Collaborate with engineers, product managers, and AI/ML scientists to deliver end-to-end features that power critical business outcomes.

What you should have

  • 6-10+ years of professional software engineering experience with at least one modern language such as Go, Python, or Elixir.
  • 1+ years of professional experience deploying and maintaining AI agents in production environments that interact with tools, APIs, or real-world workflows.
  • Proven success designing and maintaining distributed or high-throughput systems.
  • Strong problem-solving ability and comfort navigating ambiguity in large-scale systems.
  • Excellent communication skills and the ability to work effectively across teams.
  • A willingness to work across the entire stack-from infrastructure to APIs to user-facing components-wherever the problem needs solving.
  • Ability to thrive in a fast-paced environment with shifting priorities.

What we hope you have

  • 1+ years of professional experience deploying and maintaining AI agents in production environments that interact with tools, APIs, or real-world workflows.
  • Practical experience designing and implementing evaluations for LLM behavior - including accuracy, safety, reliability, and cost monitoring.
  • Strong understanding of prompt design, context engineering, and guardrail strategies for dependable, interpretable agent behavior.
  • Experience with modern agent frameworks such as LangGraph, CrewAI, or AutoGen, including multi-step reasoning, memory, and orchestration patterns.
  • Hands-on experience with fine-tuning and data curation for improving model performance.

Why you'll love working here: 

  • Podium is the best place to work to:
    • Join the leaders in AI agents
    • Unlock career-defining growth
    • Build with world-class talent
    • Make a real impact on local business

Benefits:

  • Open and transparent culture 
  • Life insurance, long and short-term disability coverage
  • Paid maternity and paternity leave
  • Fertility Benefits
  • Generous vacation time, plus three 4-day summer holiday weekends
  • Excellent medical, dental, and vision benefits
  • 401k Plan with company matching
  • Bi-annual swag drops with cool Podium gear and apparel 
  • A stellar HQ (Utah) gym with local professional coaches and classes offered
  • Onsite HQ (Utah) child care center, subsidized for employees

Podium is an equal opportunity employer. Podium provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, gender, national origin, sexual orientation, gender identity or expression, age, disability, genetic information, marital status or veteran status.

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