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Langgraph Jobs in Colorado (NOW HIRING)

TIFIN

AI Engineering

Boulder, CO

$200K - $275K/yr

Architect a scalable multi-agent platform on LangGraph-style orchestration, with agent memory and state management, dynamic tool invocation, model fine-tuning pipelines, structured output validation ...

TIFIN

AI Engineering

Boulder, CO · On-site

Architect a scalable multi-agent platform on LangGraph-style orchestration, with agent memory and state management, dynamic tool invocation, model fine-tuning pipelines, structured output validation ...

Deloitte

Oracle Gen AI Manager

Denver, CO · On-site

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 ...

Litera

Senior AI Software Engineer

Denver, CO · On-site

$126K - $166K/yr

Proficiency in Python , with working experience in LangGraph and/or LangChain. * Familiarity with agent-based and multi-agent orchestration architectures. * Experience with enterprise SaaS RESTful ...

EchoStar

Senior Data Scientist

Englewood, CO · On-site

$96K - $137K/yr

Lead the design and statistical validation of multi-agent architectures using LangGraph and AWS Bedrock to automate network provisioning and achieve autonomous operational workflows * Enhance network ...

Deloitte

Oracle Gen AI Manager

Colorado Springs, CO · On-site

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 ...

BillGO, Inc.

AI Data Analytics Engineer

Fort Collins, CO · On-site

$113K - $135K/yr

... LangGraph, or similar. * Solid engineering fundamentals: data modeling, APIs, cloud platforms, CI/CD, testing, and observability. * Understanding of BI and analytics tooling, semantic layers, prompt ...

BillGO, Inc.

AI Data Analytics Engineer

Fort Collins, CO · On-site

$102K - $146K/yr

... LangGraph, or similar. * Solid engineering fundamentals: data modeling, APIs, cloud platforms, CI/CD, testing, and observability. * Understanding of BI and analytics tooling, semantic layers, prompt ...

Prologis, Inc.

Lead AI Engineer

Denver, CO · On-site

$147K - $202K/yr

Experience with agent frameworks or orchestration patterns such as OpenAI Agents SDK, LangChain, LangGraph, LlamaIndex, MCP, AutoGen, CrewAI, n8n, or comparable platforms. * Experience with Autodesk ...

Prologis

Lead AI Engineer

Denver, CO

$147K - $202K/yr

Experience with agent frameworks or orchestration patterns such as OpenAI Agents SDK, LangChain, LangGraph, LlamaIndex, MCP, AutoGen, CrewAI, n8n, or comparable platforms. * Experience with Autodesk ...

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All JobsLanggraph JobsLanggraph Jobs in Colorado

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 Colorado? For Langgraph jobs in Colorado, the most frequently searched job titles are:
What job categories do people searching Langgraph jobs in Colorado look for? The top searched job categories for Langgraph jobs in Colorado are:
Langgraph jobs near you
Infographic showing various Langgraph job openings in Colorado as of July 2026, with employment types broken down into 55% Full Time, 7% Part Time, and 38% Contract. Highlights an 92% In-person, 3% Hybrid, and 5% Remote job distribution.

AI Engineering

TIFIN

Boulder, CO

$200K - $275K/yr

Other

Posted 20 days ago

Job description

ROLE OVERVIEW

Our north star is delivering better wealth outcomes for more people. We're building production-grade multi-agent systems that power advisor copilots, investment intelligence workflows, and autonomous research capabilities. Our AI Engineers architect, build, and operationalize these systems at scale, pushing the boundaries of what agentic AI can do. We're hands-on engineers focused on shipping reliable, enterprise-ready agentic AI systems into production.

PROJECTS

  • Agent Advisor Copilot. Build a production-grade, multi-agent copilot for financial advisors that retrieves and reasons over client data using RAG and a persistent knowledge graph of clients and holdings, analyzes portfolio exposures and risk scenarios, generates personalized insights, enforces compliance guardrails, and drafts client-ready communications - all within a monitored, auditable architecture graded by automated evals and LLM-as-judge review.
  • Deep Research & Workflow Agents. Design end-to-end AI workflows spanning client discovery, investment research synthesis, portfolio construction and optimization, and compliant meeting preparation - powered by deep research agents that reason over live web and internal data in ReAct-style loops - replacing fragmented tools with intelligent, autonomous systems.
  • Agentic Infrastructure & Reasoning Stack. Architect a scalable multi-agent platform on LangGraph-style orchestration, with agent memory and state management, dynamic tool invocation, model fine-tuning pipelines, structured output validation, observability, fault tolerance, and automated evaluation - solving reliability, explainability, and regulatory challenges at scale.

WHAT YOU'LL DO

  • Design and implement production-grade multi-agent systems and ReAct-style reasoning loops using modern agent frameworks and orchestration engines (e.g., LangGraph, Pydantic AI, Agent Harness, Tool-Calling, Code Execution)
  • Build agent workflows that integrate RAG-based retrieval, agent memory, and knowledge graphs for grounded, long-horizon reasoning, fine-tuning models where prompting and retrieval alone fall short
  • Establish evaluation and benchmarking frameworks, including LLM-as-judge pipelines, for multi-step reasoning accuracy, groundedness, hallucination mitigation, and financial correctness
  • Design and enforce AI governance - audit trails, guardrails, and human-in-the-loop checkpoints - appropriate to a regulated industry
  • Develop distributed agent services with strong observability and failure handling, and optimize latency, cost, and infrastructure decisions across model serving, vector/graph databases, and caching

WHAT YOU'LL BRING

  • 3+ years of experience building and shipping Generative AI and LLM applications into production, with demonstrated experience designing and deploying multi-agent systems, including LangGraph or comparable orchestration frameworks and ReAct-style deep-agent reasoning loops
  • Strong experience with RAG, agent memory, knowledge graphs and graph databases, and LLM fine-tuning
  • Deep proficiency in Python, with experience in distributed systems, cloud infrastructure (AWS/GCP/Azure), and containerized deployments
  • Experience implementing evaluation frameworks, benchmarking, and LLM-as-judge pipelines, along with monitoring and reliability safeguards for AI systems
  • Strong systems thinking, an ability to design beyond single-model solutions toward coordinated, multi-component architectures
  • Resilience and adaptability, driven by a desire to build state-of-the-art AI that drives better wealth outcomes for more people

COMPENSATION RANGE

$200,000 - $275,000 USD, competitive and appropriate to experience level

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