1

Langgraph Jobs in Utah (NOW HIRING)

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 ...

Senior AI Engineer - Agentic

Lehi, UT · On-site +1

$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 ...

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 ...

Showing results 41-49

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 cities in Utah are hiring for Langgraph jobs? Cities in Utah with the most Langgraph job openings:
Infographic showing various Langgraph job openings in Utah as of August 2026, with employment types broken down into 87% Full Time, 5% Part Time, and 8% Contract. Highlights an 80% Physical, 5% Hybrid, and 15% Remote job distribution.

Lead Software Engineer, Agentic AI Systems

Collective Health

Lehi, UT • On-site

$151K - $189K/yr

Full-time

Medical, Retirement, PTO

Re-posted 25 days ago


Collective Health rating

7.5

Company rating: 7.5 out of 10

Based on 6 frontline employees who took The Breakroom Quiz

201st of 485 rated business services


Job description

At Collective Health, we're transforming how employers and their people engage with their health benefits by seamlessly integrating cutting-edge technology, compassionate service, and world-class user experience design.
The Claims AI Automation team is currently evolving from traditional rule-based adjudication to an intelligence-driven platform. We are seeking a Lead Software Engineer who excels at high-level technical execution. This role is focused on the development and delivery of our Agentic AI strategy, turning architectural blueprints into production-ready systems.
The ideal candidate will be the primary engine for building Python-based AI agents using the Google Cloud (GCP) ecosystem to automate complex claims workflows. You will be responsible for implementing sophisticated LLM behaviors using Gemini.
What you will do:
  • Execute Agentic Workflows: Build and deploy sophisticated AI agents using Google Vertex AI and the Google Agent SDK (ADK) based on provided architectural specifications.
  • Develop and optimize agent behaviors using Gemini (Pro/Flash) with a focus on reliable tool-calling and multi-step reasoning; implement RAG and grounding strategies to ensure AI agents provide factual, data-driven responses derived from internal claims databases and policy documents.
  • Design and implement complex system instructions, few-shot prompting, and Chain-of-Thought reasoning to ensure agents handle claims logic with high precision, performing Supervised Fine-Tuning on Gemini models to improve domain-specific performance in adjudication and medical coding
  • Data & Messaging: Expert in SQL/PostgreSQ/AlloyDB/BigQueryUnderstand architectural decisions and actively drive reusable patterns for cloud-native, AI-enabled backend systems.
  • Design and implement Stateful Orchestration patterns that incorporate human review breakpoints, ensuring agents can pause, persist state, and resume workflows after auditor approval.
  • Implement Input/Output Guardrails and 'Circuit Breaker' logic to detect and intercept non-compliant agent behavior or toxic/hallucinated outputs in real-time before they reach production databases.
  • Ability to implement Google Cloud DLP or similar tools within AI pipelines to ensure PHI (Patient Health Information) is never exposed to the model's training or logs.
To be successful in this role, you'll need:
  • Expert Python Developer: Exceptional skills in building production-grade applications using frameworks like LangChain, LangGraph, or PydanticAI.
  • Gemini & Vertex AI: Hands-on experience building with the Gemini model family and the Google Agent SDK (ADK).
  • Vertex AI Mastery: Deep experience with the Vertex AI Python SDK, specifically Reasoning Engine (Runtime), Extensions, and Function Calling.
  • Prompt Engineering: Proven ability to engineer high-performance prompts that mitigate hallucinations and ensure deterministic outputs in regulated environments.
  • 8+ years of Full-Stack experience with a heavy focus on backend systems.
  • AI-First SDLC: Mastery of AI-enhanced development tools (e.g., Cursor, WindSurf, GitHub Copilot) to drive team velocity.
Preferred Qualifications
  • Healthcare Data: Familiarity with healthcare interoperability standards and claims-related data structures.
  • Fine-Tuning Expertise: Practical experience in fine-tuning LLMs for specific industry nomenclature or structured output formats.
  • Java Proficiency: working knowledge of Java and Spring Cloud, capable of supporting and extending existing microservice architectures.
Our Tech Stack
  • AI & LLMs: Gemini, Vertex AI, Google ADK, Python, LangChain.
  • Existing Backend: Java, Spring Cloud, Spring Boot.
  • Data & Messaging: PostgreSQL, Spark, AlloyDB, BigQuery
  • Infrastructure: GCP (Vertex AI, GKE, Cloud Run), Docker.
Pay Transparency Statement
This is a hybrid position based out of our Lehi or Plano offices, with the expectation of being in office at least two weekdays per week. #LI-hybrid #LI-NM1
The actual pay rate offered within the range will depend on factors including geographic location, qualifications, experience, and internal equity. In addition to the salary, you will be eligible for 205,000 stock options and benefits like health insurance, 401k, and paid time off. Learn more about our benefits at https://jobs.collectivehealth.com/benefits/.
Lehi, UT Pay Range
$138,000-$172,500 USD
Plano, TX Pay Range
$151,800-$189,750 USD
Why Join Us?
  • Mission-driven culture that values innovation, collaboration, and a commitment to excellence in healthcare
  • Impactful projects that shape the future of our organization
  • Opportunities for professional development through internal mobility opportunities, mentorship programs, and courses tailored to your interests
  • Flexible work arrangements and a supportive work-life balance

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. Collective Health is committed to providing support to candidates who require reasonable accommodation during the interview process. If you need assistance, please contact recruiting-accommodations@collectivehealth.com.
Privacy Notice
For more information about why we need your data and how we use it, please see our privacy policy: https://collectivehealth.com/privacy-policy/.

What Collective Health employees say

Pay

Hours and flexibility

Workplace

Get the full story on Breakroom