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Full Time Langchain Developer Jobs (NOW HIRING)

Nastech Global

GEN AI Engineer

Charlotte, NC · On-site

Charlotte, NC (onsite) Job Type: Full time Must Have Technical/Functional Skills o Bachelors or ... the Langchain framework o Experience specifically with the Open AI API, chat completions ...

Fabrion

DevOps Engineer (Founding Team)

Bodega Bay, CA · On-site

$62.50 - $85.75/hr

San Francisco Bay Area Type: Full-Time Compensation: Competitive salary + meaningful equity ... LangChain, LangGraph, Dust, ReAct agents) * Building retrieval-augmented generation (RAG) pipelines ...

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Full Time Langchain Developer information

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

As of Jun 21, 2026, the average hourly pay for full time langchain developer in the United States is $52.84, according to ZipRecruiter salary data. Most workers in this role earn between $40.38 and $64.66 per hour, depending on experience, location, and employer.

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 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.
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Full Time Langchain Developer jobs near you

AI Engineer - GenAI, Autonomous Agents & Data Platforms - AIRLHV

NavitasPartners

Los Angeles, CA • Hybrid

$40/hr

Full-time

Posted 24 days ago

Job description

AI Engineer – GenAI, Autonomous Agents & Data Platforms

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

Overview:

We are hiring an AI Engineer specializing in Generative AI and agentic systems to drive enterprise innovation across data and AI platforms.

Key Responsibilities:

  • Build and scale AI agents and GenAI-driven applications
  • Develop pipelines integrating AI with enterprise data platforms
  • Ensure system scalability, performance, and governance
  • Collaborate with engineering and business stakeholders

Required Skills:

  • Strong background in AI/ML and GenAI technologies
  • Cloud experience (AWS, Azure, GCP)
  • Hands-on implementation of AI solutions

Nice to Have / Coverage:

  • ML/AI Engineering: Python, PyTorch, LangChain, MLOps
  • Data platforms: Databricks, Snowflake, Synapse, BigQuery
  • Experience working with cloud/data platform architects
  • Exposure to AI governance and compliance practices

For more details reach at resumes@navitassols.com.