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Langchain Developer Jobs in Arizona (NOW HIRING)

Arkhya Tech

GenAI Solutions Leader

Phoenix, AZ · On-site

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 ...

Arrivia

Agentic Software Engineer III

Scottsdale, AZ

$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 ...

Arrivia, Inc.

Agentic Software Engineer III

Scottsdale, AZ · 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 ...

Arrivia

Agentic Software Engineer III

Scottsdale, AZ · 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 ...

Pwc

CTIO AI Engineering Manager

Phoenix, AZ

$73K - $244K/yr

... 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 ...

Pwc

AI Solutions Engineering Delivery Lead

Phoenix, AZ · 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 ...

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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 are popular job titles related to Langchain Developer jobs in Arizona? For Langchain Developer jobs in Arizona, the most frequently searched job titles 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:
Langchain Developer jobs near you
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.

GenAI Solutions Leader

Arkhya Tech

Phoenix, AZ • On-site

Other

Re-posted 14 days ago

Job description

AI Evangelist/AI Expert/ GenAI Solutions Leader

Location : Phoenix AZ - Onsite

Full-Time

Lead platform releases, feature rollouts, and adoption initiatives in partnership with product and engineering teams.

o Architect and execute go to market strategies spanning onboarding, training, documentation, and ongoing support.

Customer Enablement & Training o Conduct workshops, office hours, and hands on pair programming while maintaining self service resources (SDKs, guides, playbooks) to drive adoption and reduce time to value. o Create scalable enablement assets and tailor training approaches based on a deep understanding of customer workflows and pain points.

Solution Strategy & Feedback Loop o Establish tight feedback loops with end users to surface insights that shape roadmap direction, influence implementation, and drive usability improvements. o Translate business problems into actionable solution architectures partnering with platform teams on patterns, reusable accelerators, acceptance criteria, and reference architectures to standardize solution delivery.

o Stay current with industry trends in MLOps/LLMOps, GenAI, agentic frameworks, and cloud optimization.

Stakeholder Relationship & Communication o Build

Required Qualifications:

4+ years of Artificial Intelligence experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education

3+ years across product/solution management, program delivery, or technical product ownership for AI/ML platforms, or cloud-native solutions.

3+ years hands-on with cloud technologies (Google Cloud Platform, or Azure) and container orchestration (Docker, Kubernetes/OpenShift). Desired Qualifications

5+ years across the AI/ML lifecycle: data management, feature engineering, model development, deployment, monitoring/observability, and model risk/governance.

Experience in large enterprise environments (regulated industries preferred) and building platforms at scale.

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/LLMOps tooling and practices (model registry, CI/CD, feature store, prompt/chain/versioning, evaluation, guardrails, monitoring).

Strong communication skills with the ability to influence senior stakeholders and simplify complex technical

Regards,

Bhupendra

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