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Full Time Langchain Developer Jobs in Phoenix, AZ

GEN AI Engineer II

Phoenix, AZ

$114.50K - $137.50K/yr

... LangChain and NLP In-depth knowledge of machine learning alogrithms, software architecture ... Employment Type: FULL_TIME

Phoenix, AZ (Onsite) Fulltime Must Have Technical/Functional Skills • 10+ years of experience ... LangGraph, LangChain, AirFlow, etc • Integration of commercial and open-source LLMs into agentic ...

Full Time Langchain Developer information

See Phoenix, AZ salary details

$16

$52

$81

How much do full time langchain developer jobs pay per hour?

As of May 28, 2026, the average hourly pay for full time langchain developer in Phoenix, AZ is $52.46, according to ZipRecruiter salary data. Most workers in this role earn between $40.10 and $64.18 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Full Time Langchain Developer, and why are they important?

To thrive as a Full Time Langchain Developer, you need a solid background in Python programming, experience with large language models (LLMs), and familiarity with software engineering best practices. Proficiency in using the Langchain framework, APIs, cloud platforms, and version control systems like Git is typically required. Strong problem-solving abilities, attention to detail, and effective communication skills make a candidate stand out in this role. These skills and qualities are crucial for building scalable, reliable AI-driven applications and collaborating efficiently within technical teams.

What are some of the main challenges a Full Time Langchain Developer might face when integrating large language models with external data sources?

A Full Time Langchain Developer often encounters challenges such as ensuring seamless and secure integration between language models and various APIs or databases. Handling data privacy, managing latency, and maintaining the accuracy of responses when fetching or updating information from external sources are common concerns. Additionally, developers must continuously monitor and optimize prompt engineering to improve model performance and adapt to evolving project requirements. Collaboration with data engineers and product teams is also essential to address these integration complexities effectively.

What is a Full Time Langchain Developer?

A Full Time Langchain Developer is a software engineer who specializes in building applications and solutions using LangChain, an open-source framework designed to facilitate the development of applications powered by large language models (LLMs). Their responsibilities typically include integrating language models with external data sources, creating conversational agents, and automating workflows that leverage AI. Working full time means they dedicate their primary professional hours to designing, coding, testing, and maintaining LangChain-based systems. This role often requires expertise in Python, familiarity with LLMs, and understanding of prompt engineering.
What are the most commonly searched types of Langchain Developer jobs in Phoenix, AZ? The most popular types of Langchain Developer jobs in Phoenix, AZ are:
What job categories do people searching Full Time Langchain Developer jobs in Phoenix, AZ look for? The top searched job categories for Full Time Langchain Developer jobs in Phoenix, AZ are:
Infographic showing various Full Time Langchain Developer job openings in Phoenix, AZ as of May 2026, with employment types broken down into 2% As Needed, 35% Full Time, 57% Part Time, and 6% Contract. Highlights an 27% Physical, 1% Hybrid, and 72% Remote job distribution, with an average salary of $109,126 per year, or $52.5 per hour.

AI Engineer - GenAI, MLOps & Cloud Platforms - AIRLHV

NavitasPartners

Phoenix, AZ • On-site, Remote

$55.25 - $74/hr

Full-time

Posted 11 hours ago


Job description

AI Engineer – GenAI, MLOps & Cloud Platforms

Location: US / Canada (Remote/Hybrid)
Type: Contract / Full-Time

Overview:

Join a high-impact team delivering enterprise AI solutions. This role emphasizes building intelligent systems using modern ML, GenAI, and cloud-native technologies.

Key Responsibilities:

  • Develop and operationalize machine learning and GenAI models
  • Build scalable data and model pipelines using cloud technologies
  • Partner with cross-functional teams to deliver AI-driven insights
  • Ensure scalability, performance, and governance of AI systems

Required Skills:

  • Hands-on experience in ML engineering, MLOps, and model lifecycle management
  • Strong programming skills in Python and ML frameworks
  • Experience with cloud ecosystems (AWS, Azure, GCP)
  • Knowledge of distributed data processing and integration

Nice to Have / Coverage:

  • Experience with Databricks, Snowflake, or BigQuery for data engineering workflows
  • Familiarity with LangChain and agent-based AI systems
  • Exposure to enterprise AI governance and compliance standards
  • Experience collaborating with cloud/data platform architects

For more details reach at resumes@navitassols.com.