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Langgraph Jobs in Sandy, UT (NOW HIRING)

... 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.

Sr. AI Engineer

Salt Lake City, UT · Hybrid

$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 scalable ...

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 ...

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 ...

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

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

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

Postdoctoral Fellow, Applied AI

Lehi, UT · Remote

$50K - $68K/yr

Design and implement multi-agent workflows using frameworks like LangChain, LangGraph, CrewAI, AutoGen, AgentCore, Strands, Google ADK, A2A, etc. to automate complex multi-step reasoning tasks in ...

New

Build and implement RAG pipelines, agentic workflows, and multi‑agent systems using frameworks such as LangChain and LangGraph * Architect data pipelines and integration patterns that connect AI ...

Showing results 21-40

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 Sandy, UT? For Langgraph jobs in Sandy, UT, the most frequently searched job titles are:
What job categories do people searching Langgraph jobs in Sandy, UT look for? The top searched job categories for Langgraph jobs in Sandy, UT are:
What cities near Sandy, UT are hiring for Langgraph jobs? Cities near Sandy, UT with the most Langgraph job openings:
Infographic showing various Langgraph job openings in Sandy, UT as of August 2026, with employment types broken down into 87% Full Time, 6% Part Time, and 7% Contract. Highlights an 77% Physical, 6% Hybrid, and 17% Remote job distribution.

Staff Software Engineer - AI Platform Team

Proofpoint

Draper, UT

Full-time

Re-posted 9 days ago


Proofpoint rating

9.7

Company rating: 9.7 out of 10

Based on 7 frontline employees who took The Breakroom Quiz

1st of 116 rated security


Job description

About Us:

Proofpoint is a global leader in human- and agent-centric cybersecurity. We protect how people, data, and AI agents connect across email, cloud, and collaboration tools. Over 80 of the Fortune 100, 10,000 large enterprises, and millions of smaller organizations trust Proofpoint to stop threats, prevent data loss, and build resilience across their people and AI workflows. Our mission is simple: safeguard the digital world and empower people to work securely and confidently. Join us in our pursuit to defend data and protect people.

How We Work:

At Proofpoint you'll be part of a global team that breaks barriers to redefine cybersecurity guided by our BRAVE core values:

Bold in how we dream and innovate

Responsive to feedback, challenges and opportunities

Accountable for results and best in class outcomes

Visionary in future focused problem-solving

Exceptional in execution and impact

The Role

As a Staff Software Engineer on our Satori AI Platform team, you will drive the architecture of the internal platform that every Proofpoint product team uses to build agentic applications - spanning AI-assisted development, evaluation-based release gates, OpenTelemetry observability for agents in production, and cross-product AuthX for AI workloads. Your direct users are fellow product engineers, and the products they ship protect business-critical communications for Fortune 100 customers 24/7/365. The patterns and primitives you set will define how mission-critical agentic software ships across the company. This is a uniquely-challenging role: we empower small teams to make large impacts, the systems are inherently non-deterministic, and the bar for what we ship to product teams is high.

Your day-to-day

  • Set architectural direction for one or more platform pillars: AI-assisted developer workflows, eval-driven release gates, OpenTelemetry for LLM/agent traffic, cross-product AuthX, etc.

  • Design agent runtimes and SDKs on frameworks like LangGraph, OpenAI Agents SDK, Anthropic's Agent SDK, and MCP, in Python (typed) and TypeScript/Node

  • Define what "release-ready" means for an agent at Proofpoint: the eval suites, safety checks, telemetry, and AuthX contracts that gate every rollout

  • Partner with product team tech leads across the org to land your architecture in their stacks; turn one-off integrations into reusable platform capabilities

  • Drive the standards for prompt management, model selection, cost/latency budgets, and observability across products
    Design, code, review, test, and deploy software features in our application stack - Staff engineers at Proofpoint still write code

  • Mentor engineers across the platform and product teams; raise the company-wide bar for what production agentic software looks like

What you bring to the team

  • Prior experience taking agentic or LLM-based systems to production - not just prototypes - including the eval, observability, and rollback story

  • Deep experience with Python (typed) and/or TypeScript/Node, plus an opinion on which belongs where in the Satori AI Platform

  • Hands-on work with agent frameworks (LangGraph, OpenAI/Anthropic Agents SDK, MCP, LangChain) and eval tooling (LangSmith, Braintrust, promptfoo, or similar)

  • Strong fluency with OpenTelemetry, including the GenAI semantic conventions, and a track record of debugging distributed systems from traces

  • Ability to see the big picture, collaborate with cross-product teams, and drive architectural conversations

  • Experience designing, developing, and supporting applications in a microservices cloud environment

  • Excellent verbal and written communication skills - you can convince another team's tech lead to adopt your platform

  • Passion, curiosity, integrity, and outstanding attention to detail while performing tasks

  • A "get it done" attitude consistent with a team where everyone writes code

  • A B.S. or M.S. in Computer Science or related field, or equivalent experience

Why Proofpoint?

At Proofpoint, we believe that an exceptional career experience includes a comprehensive compensation and benefits package. Here are just a few reasons you'll love working with us:

  • Competitive compensation

  • Comprehensive benefits

  • Career success on your terms

  • Flexible work environment

  • Annual wellness and community outreach days

  • Always on recognition for your contributions

  • Global collaboration and networking opportunities

Our Culture:

Our culture is rooted in values that inspire belonging, empower purpose and drive success-every day, for everyone.

We encourage applications from individuals of all backgrounds, experiences, and perspectives. If you need accommodation during the application or interview process, please reach out to accessibility@proofpoint.com.

How to Apply

Interested? Submit your application along with any supporting information- we can't wait to hear from you!

Consistent with Proofpoint values and applicable law, we provide the following information to promote pay transparency and equity. Our compensation reflects the cost of labor across several U.S. geographic markets, and we pay differently based on those defined markets as set out below. Pay within these ranges varies and depends on job-related knowledge, skills, and experience. The actual offer will be based on the individual candidate. The range provided may represent a candidate range and may not reflect the full range for an individual tenured employee. This role may be eligible for variable compensation and/or equity. We offer a competitive benefits package, including flexible time off, a comprehensive well-being program with two paid Wellbeing Days and two paid Volunteer Days per year, plus a three-week Work from Anywhere option.

Base Pay Ranges:

SF Bay Area, New York City Metro Area:

Base Pay Range: 200,300.00 - 293,810.00 USD

California (excludes SF Bay Area), Colorado, Connecticut, Illinois, Washington DC Metro, Maryland, Massachusetts, New Jersey, Texas, Washington, Virginia, and Alaska:

Base Pay Range: 167,300.00 - 245,355.00 USD

All other cities and states excluding those listed above:

Base Pay Range: 152,900.00 - 224,235.00 USD

What Proofpoint employees say

Pay

Hours and flexibility

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