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Langgraph Jobs in Arizona (NOW HIRING)

Staffingine LLC

AI Engineer

Phoenix, AZ · On-site

Develop and implement AI solutions using Python and AI frameworks such as Langgraph and Langchain Work with vector databases like Pinecone to manage and query highdimensional data Build and maintain ...

Judge Group, Inc.

Software Engineer 4

Chandler, AZ · On-site

$69 - $74/hr

LangGraph or Agent Development Kit (ADK) * Agentic AI frameworks * Retrieval-Augmented Generation (RAG) * GraphRAG * Model Context Protocol (MCP) Data Engineering Experience * 5+ years of hands-on ...

Inficare Technologies

Lead AI Engineer

Phoenix, AZ · On-site

$99K - $131K/yr

AI, AWS, Typescript, Javascript, Python, GO LangGraph, LangChain, AirFlow The Role As a AI Engineer - Agentic AI, you will operate as a senior individual contributor within Technology, helping define ...

onsemi

Sr. Manager AI & Data Science

Scottsdale, AZ · On-site

As a player-coach, you'll be deeply involved in the technical details-guiding architectural decisions, ensuring AI safety, and shaping workflows using tools like LangGraph, Azure Machine Learning ...

Deloitte

Oracle Gen AI Manager

Tempe, AZ

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 ...

Inficare Technologies

AI Python Engineer

Phoenix, AZ · On-site

LangChain, LangGraph, AutoGen, or CrewAI * Exposure to APIs, cloud platforms (AWS, Azure, GCP), Docker, Kubernetes, and vector databases * MLOps/data tools: MLflow, Kubeflow, Argo Workflows, Kafka ...

onsemi

Sr. Manager AI & Data Science

Scottsdale, AZ · On-site

As a player-coach, you'll be deeply involved in the technical details-guiding architectural decisions, ensuring AI safety, and shaping workflows using tools like LangGraph, Azure Machine Learning ...

Arkhya Tech

GenAI Solutions Leader

Phoenix, AZ · On-site

Hands-on with GenAI and agentic AI (LLMs, diffusion models, RAG, tool use/agents); familiarity with OpenAI Azure, Hugging Face, LangChain/LangGraph, ADK, vector databases. Experience with MLOps ...

Perficientcorp Inc

Gen AI Engineer

Phoenix, AZ · On-site

Experience working with modern AI frameworks like LangChain, LangGraph * Solid understanding of DB concepts, SQL, BigQuery and experience working in Relational and NoSQL DBs * Solid understanding of ...

Matthews

Staff Software Engineer (PHX)

Scottsdale, AZ · 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 ...

MY DR NOW

Be Seen First

AI & Machine Learning Engineer

Chandler, AZ · On-site

$100K - $110K/yr

... LangGraph, Semantic Kernel, CrewAI • AI Agents, MCP, Prompt Engineering, Function Calling • RAG solutions and Vector Databases • Microsoft Fabric, Azure Data Factory, Azure SQL • TensorFlow ...

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All JobsLanggraph JobsLanggraph Jobs in Arizona

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 Arizona? For Langgraph jobs in Arizona, the most frequently searched job titles are:
What job categories do people searching Langgraph jobs in Arizona look for? The top searched job categories for Langgraph jobs in Arizona are:
What cities in Arizona are hiring for Langgraph jobs? Cities in Arizona with the most Langgraph job openings:
Langgraph jobs near you
Infographic showing various Langgraph job openings in Arizona as of July 2026, with employment types broken down into 59% Full Time, 3% Part Time, and 38% Contract. Highlights an 92% In-person, 3% Hybrid, and 5% Remote job distribution.
AI Engineer with Security Clearance

AI Engineer with Security Clearance

Agensys Corporation

Phoenix, AZ • On-site

Other

Posted 9 days ago

Job description

Overview: We are looking for an AI/ML Engineer to develop, implement, and scale machine learning and generative AI solutions. This position blends strong software engineering expertise with practical experience building applications powered by modern AI frameworks and large language models. Required Skills Software Engineering * Proficient in Python and SQL; experience with Java or JavaScript is a plus * Basic front-end knowledge including HTML and CSS * Experience developing APIs using frameworks such as FastAPI * Familiarity with containerization and deployment using Docker Machine Learning Fundamentals * Hands-on experience developing and deploying machine learning models, including deep learning solutions * Strong understanding of model selection, evaluation techniques, and performance tuning * Experience operationalizing ML pipelines and monitoring model performance in production Frameworks & Tools * Practical experience working with LLM APIs and orchestration tools such as LangChain or LangGraph * Familiarity with platforms like Azure ML, Snowflake Cortex, and MLflow for managing the ML lifecycle Modern AI Concepts * Knowledge and experience with: * Vector databases and semantic search techniques * Retrieval-Augmented Generation (RAG) * Embeddings, chunking methods, and reranking strategies * Frameworks used to evaluate LLM performance * Tool usage and agent-based architectures * Optimizing cost and latency for AI-driven workloads Ideal Candidate * Demonstrates ownership across the full lifecycle, from initial prototype through production release * Comfortable building scalable AI-driven systems that deliver measurable business outcomes * Strong communicator who can clearly convey technical ideas in a business context * Candidates with a combination of strong engineering fundamentals and hands-on generative AI experience, especially with RAG architectures and production-level LLM applications-will be particularly competitive. Minimum Qualifications * Strong proficiency with Python, SQL, FastAPI, and Docker * Experience integrating LLM APIs and working with at least one orchestration framework (LangChain or LangGraph) * Exposure to enterprise AI platforms such as Azure ML, Snowflake Cortex, or MLflow

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