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Langchain Developer Jobs in Arizona (NOW HIRING)

Job Title - Gen AI Engineer Location - Phoenix, AZ Duration: 12+ Months Interview Mode - In-Person ... Experience working with modern AI frameworks like LangChain, LangGraph * Solid understanding of DB ...

Summary Photon is seeking a skilled AI Developer (Platform + Backend) to support the design ... Good to Have * Exposure to LangChain, LlamaIndex, OpenAI APIs, or similar AI frameworks.

Summary Photon is seeking a skilled AI Developer (Platform + Backend) to support the design ... Good to Have * Exposure to LangChain, LlamaIndex, OpenAI APIs, or similar AI frameworks.

Make architectural decisions that balance scalability, reliability, and developer velocity. * Set ... Experience with LLMs, LangChain/LangGraph, and vector databases Salary Range - $170k-220k depending ...

Senior Agent AI Engineer

Phoenix, AZ · On-site

$128K - $176K/yr

Proficiency with agent architectures (e.g., LangChain, AutoGPT, ReAct) and techniques such as task planning, tool-use, and agent coordination. * Strong programming skills in Python and experience ...

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

AI Engineer

Phoenix, AZ · On-site

$100K - $120K/yr

... LangChain, LlamaIndex, CrewAI), Familiarity with vector databases • Experience with cloud ... Strong engineering fundamentals across backend systems, APIs, data pipelines, and cloud ...

Security Architect

Phoenix, AZ · On-site

$64.50 - $83.50/hr

... design (e.g., LangChain, OpenAI GPT, Guardrails AI).Broad experience across cloud, data ... Engineer).Demonstrable experience with secure implementation of GenAI or autonomous agents in ...

Design and implement LLM-powered agentic workflows using LangChain, LangGraph, and EP's internal ... Actions, Azure DevOps). * Monitor model performance in production; implement drift detection ...

Design and implement LLM-powered agentic workflows using LangChain, LangGraph, and EP's internal ... Actions, Azure DevOps). * Monitor model performance in production; implement drift detection ...

Lead AI Engineer Company: Prologis Title: Lead AI Engineer Location: Denver, CO; San Francisco, CA ... Experience with agent frameworks or orchestration patterns such as OpenAI Agents SDK, LangChain ...

Architect

Phoenix, AZ · On-site

$63 - $83/hr

... or more programming languages, such as Python, Java. • Proficient in LLMs and Vector Databases • Expertise in one or more AI frameworks, such as LangChain. • Knowledge of AI ...

Showing results 21-40

Langchain Developer information

See Arizona salary details

$15

$49

$76

How much do langchain developer jobs pay per hour?

As of Aug 9, 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 July 2026, with employment types broken down into 84% Full Time, 6% Part Time, and 10% Contract. Highlights an 82% Physical, 4% Hybrid, and 14% Remote job distribution, with an average salary of $102,419 per year, or $49.2 per hour.

Gen AI Engineer

Perficientcorp Inc

Phoenix, AZ • On-site

Contractor

Re-posted 6 days ago


Job description

Job Title – Gen AI Engineer
Location – Phoenix, AZ
Duration: 12+ Months  
Interview Mode – In-Person Interview
 
Tech Stack – AI / Agentic AI, LLM, RAG, FastAPI, GCP, Flask, Python, SQL, Docker & Kubernetes, Fast API
 
Responsibilities
* Design, build and rollout scalable AI and Agentic systems that would result in operational efficiencies, superior customer experiences, and increased adherence to compliance practices
* Develop intelligent, autonomous workflows that can reason over context, leverage enterprise data, invoke tools, and support decision-making for use cases identified
* Design, build and rollout production-grade AI solutions, including LLM-powered applications, retrieval-augmented generation (RAG) systems, ensuring high standards of accuracy, reliability, and auditability
* Understand data, data products and build and operationalize large-scale data pipelines
* Drive AI-enabled monitoring, quality assessment, and governance capabilities through automation and advanced analytics to improve operational efficiency and consistency
* Own end-to-end technical delivery, from problem formulation and prototyping to production deployment, monitoring, and continuous optimization
* Collaborate closely with product, engineering, and business stakeholders to translate complex business problems into impactful AI solutions
* Ensure all AI systems adhere to enterprise standards for security, compliance, Explainability, and responsible AI practices
* Provide technical support for the GenAI and Agentic AI tools and services
 
Qualifications
* 6+ years of experience in software engineering, machine learning or GenAI, with production-grade system development experience
* Expertise in building GenAI, Agentic AI systems, including orchestration, tool usage, memory/state management, and evaluation frameworks
* Experience implementing RAG architectures, vector databases, and LLM lifecycle management (prompt engineering, context engineering, fine-tuning, evaluation, monitoring)
* Strong programming skills in Python and experience building Fast APIs, backend services and components, CI/CD and data pipelines
* 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 distributed systems, event-driven architectures, and large-scale data processing
* Ability to understand and review code in various languages (Java, Go, Scala)
* Strong analytical, logical reasoning, problem-solving skills with the ability to translate business needs into technical solutions
* Ability to operate in a fast-paced, collaborative environment with a strong sense of ownership and accountability