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Langchain Developer Jobs in Arizona (NOW HIRING)

The AI Full Stack Developer operates across the full application stack, bridging model development ... LangChain, LlamaIndex, OpenAI SDK, and basic knowledge of PyTorch/TensorFlow. * Databases:

Customer Enablement & Training o Conduct workshops, office hours, and hands on pair programming ... Face, LangChain/LangGraph, ADK, vector databases. Experience with MLOps/LLMOps tooling and ...

Proficiency in modern GenAI frameworks/libraries such as LangChain, LangGraph, Semantic Kernel, or ... Understanding of LLMOps/AI DevOps practices (CI/CD for prompts and agents, eval-driven development ...

Build stateful workflows using frameworks such as LangGraph and LangChain - including branching, retries, self-correction, human-in-the-loop checkpoints, and reusable orchestration patterns. Engineer ...

Agentic Software Engineer III

Scottsdale, AZ ยท On-site

$58 - $77.75/hr

As an Agentic Software Engineer III , you are an experienced, product-minded, full-stack engineer ... Bonus points for RAG, LangChain, GraphRAG, streaming platforms (Redis, Kafka, RabbitMQ), Docker ...

Agentic Software Engineer III

Scottsdale, AZ ยท On-site

$150 - $210/hr

As an Agentic Software Engineer III , you are an experienced, product-minded, full-stack engineer ... Bonus points for RAG, LangChain, GraphRAG, streaming platforms (Redis, Kafka, RabbitMQ), Docker ...

Agentic Software Engineer III

Scottsdale, AZ ยท On-site

$58 - $77.75/hr

As an Agentic Software Engineer III , you are an experienced, product-minded, full-stack engineer ... Bonus points for RAG, LangChain, GraphRAG, streaming platforms (Redis, Kafka, RabbitMQ), Docker ...

... like LangChain - Translating complex business problems into software-engineered AI solutions - Deploying on cloud platforms like AWS, GCP, Azure - Contributing to open-source projects or AI/ML ...

AI Solutions Engineering Delivery Lead

Phoenix, AZ ยท On-site

$101K - $134K/yr

... Langchain, Semantic Kernel, SQL, vector DBs, LLMs, and prompt engineering - Proven specialization with major cloud platforms such as AWS, Azure, or Google Cloud Platform, with cloud foundational ...

Showing results 41-60

Langchain Developer information

See Arizona salary details

$15

$49

$76

How much do langchain developer jobs pay per hour?

As of Aug 11, 2026, the average hourly pay for langchain developer in Arizona is $49.24, according to ZipRecruiter salary data. Most workers in this role earn between $37.64 and $60.24 per hour, depending on experience, location, and employer.

What is a Langchain developer?

A Langchain Developer specializes in building applications using LangChain, a framework for developing AI-driven applications that leverage large language models (LLMs). Their role involves integrating LLMs with data sources, optimizing prompt engineering, and designing workflows for chatbots, automation, and knowledge retrieval. They often work with Python, APIs, and vector databases to enhance AI capabilities. The job requires expertise in natural language processing (NLP), machine learning, and cloud services.

What are some typical challenges faced by Langchain developers and how do teams address them?

Langchain Developers often encounter challenges such as integrating new language models, ensuring data privacy, and maintaining prompt accuracy in dynamic real-world scenarios. Teams commonly address these difficulties by collaborating closely with data scientists, regularly updating their knowledge of evolving AI frameworks, and implementing robust testing protocols to ensure quality results. Continuous learning and knowledge-sharing within the team are encouraged so developers can quickly adapt to changes in technology or requirements. Additionally, cross-functional meetings and code reviews are held to align development with organizational goals and best practices. These efforts help ensure that projects remain innovative and effective while minimizing potential roadblocks.

What are the key skills and qualifications needed to thrive as a Langchain developer?

To thrive as a Langchain Developer, you need strong programming skills in Python, experience with large language models (LLMs), and a solid understanding of conversational AI workflow. Familiarity with tools and platforms such as LangChain, vector databases (e.g., Pinecone, FAISS), cloud services, and API integrations is commonly required. Excellent problem-solving, communication, and collaboration skills help you adapt to fast-paced AI projects and work effectively with cross-functional teams. These competencies are essential for designing, implementing, and optimizing advanced AI-powered applications that deliver real business value.

What are the most commonly searched types of Langchain Developer jobs in Arizona? The most popular types of Langchain Developer jobs in Arizona are:
What job categories do people searching Langchain Developer jobs in Arizona look for? The top searched job categories for Langchain Developer jobs in Arizona are:
Infographic showing various Langchain Developer job openings in Arizona as of August 2026, with employment types broken down into 82% Full Time, 4% Part Time, and 14% Contract. Highlights an 80% Physical, 6% Hybrid, and 14% Remote job distribution, with an average salary of $102,419 per year, or $49.2 per hour.

Fullstack AI Engineer

Globe Telecom, Inc.

Globe, AZ โ€ข On-site

Full-time

Re-posted 17 days ago


Job description

At Globe, our goal is to create a wonderful world for our people, business, and nation. By uniting people of passion who believe they can make a difference, we are confident that we can achieve this goal.

Job Description Enables tight integration between application layers and machine learning models This role is responsible for building both the "brain" (AI models/logic) and the "body" (user interface and APIs) of an application, ensuring that AI features are not just functional but seamlessly interconnected into the user experience.

The AI Full Stack Developer operates across the full application stack, bridging model development and application production deployment, with an emphasis on scalability, integration, and usability.

  • End-to-End Development: Building responsive front-end interfaces that interact with sophisticated AI back-end, MCP Fulfilment Servers and Knowledge Management System
  • AI Integration: Implementing RAG (Retrieval-Augmented Generation) architectures and connecting LLMs to real-time data sources.
  • API Design: Creating the bridges (REST/GraphQL) that allow front-end components to communicate with ML models.
  • Product Realization: Taking a raw AI model and turning it into a polished, user-facing software product.
  • Participate in cross-functional brainstorming, strategic planning and business review sessions
  • Oversee best practices implemented during the entire DevOps/MLOps LifeCycle
  • Managed Resources like Code Repositories, API Optimization, Cloud Resources, CI/CD and Data Pipeline

NATURE OF PROBLEMS ENCOUNTERED

  • Latency Management: Solving the "slow AI" problem-ensuring users aren't left waiting while a model processes a complex request.
  • Prompt Engineering vs. UI: Aligning the "hidden" logic of an AI prompt with the visible inputs provided by a user.
  • State Management: Handling the complex states of an AI conversation (memory, context windows, and history).
  • Intermittent Failures: Debugging non-deterministic errors where an AI model provides a different (or wrong) output for the same input.

REQUIREMENTS

Technical Stack

  • Front-end: React.js, Next.js, or Vue.js; Tailwind CSS
  • Back-end: Python (FastAPI/Flask) or Node.js.
  • AI/ML: LangChain, LlamaIndex, OpenAI SDK, and basic knowledge of PyTorch/TensorFlow.
  • Databases: PostgreSQL, and Vector DBs like Pinecone, Weaviate, or Chroma.
  • Cloud Infrastructure: Google Kubernetes Engine, Cloud Functions, DFCX

Experience: 3-5 years in Full Stack Development with at least 1-2 years specifically focused on AI-integrated products.

Education: Bachelor's degree in Computer Science or Software Engineering.

More than 3-year experience on IT and Telco industry

At least 3-year experience in implementing Web/Mobile App Projects

At least 3-year experience in coordinating and managing vendors

At least 1-year experience in Testing Automation

Basic knowledge on project management discipline

Basic knowledge of DevOps Tools (CI/CD, Terraform, JIRA, Confluence)

KEY OUTPUTS

  • Application Proof of Concepts and Prototypes that will improve customer experience through AI features and capabilities
  • Functional AI Web Applications: Production-ready applications where AI is a core feature (e.g., an intelligent dashboard or an AI-driven SaaS tool).
  • Integrated API Layers: Scalable middleware that handles prompt engineering, token management, and model inference.
  • Responsive UI/UX: User interfaces specifically designed for AI interactions (e.g., streaming text responses, multimodal inputs, and feedback loops).
  • Optimized Vector Databases: Efficiently indexed data storage for fast context retrieval in AI applications.
  • Technical Documentation: Comprehensive guides for the application's architecture, including API schemas and deployment procedures.

Equal Opportunity Employer
Globe's hiring process promotes equal opportunity to applicants, Any form of discrimination is not tolerated throughout the entire employee lifecycle, including the hiring process such as in posting vacancies, selecting, and interviewing applicants.
Globe's Diversity, Equity and Inclusion Policy Commitment can be accessed here

Make Your Passion Part of Your Profession. Attracting the best and brightest Talents is pivotal to our success. If you are ready to share our purpose of Creating a Globe of Good, explore opportunities with us.