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Remote Langchain Developer Jobs (NOW HIRING)

Remote Job Type: Full-Time Remote Employment: Remote Optional Job Number: 00898 Department ... LangChain * LlamaIndex * AutoGen / CrewAI / Other Multi-Agent Framework * Custom in-house ...

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Remote Langchain Developer information

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How much do remote langchain developer jobs pay per hour?

As of May 30, 2026, the average hourly pay for remote 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 the key skills and qualifications needed to thrive as a Remote Langchain Developer, and why are they important?

To thrive as a Remote Langchain Developer, you need strong Python programming skills, experience with natural language processing (NLP), and a solid understanding of the LangChain framework and large language models. Familiarity with cloud platforms, REST APIs, and version control systems like Git is typically required, along with any relevant certifications in AI or cloud computing. Excellent problem-solving, self-motivation, and effective remote communication skills help set you apart in distributed teams. These skills ensure the efficient development of robust, scalable AI solutions while enabling seamless collaboration and innovation in a remote work environment.

How do Remote Langchain Developers typically collaborate with team members and stakeholders across different time zones?

Remote Langchain Developers often work as part of distributed teams, which requires strong communication and collaboration skills. They frequently use tools like Slack, Zoom, or project management platforms to coordinate with colleagues and share progress. Developers may need to adjust their schedules for occasional meetings or code reviews to accommodate team members in other time zones. Clear documentation and proactive updates are essential to ensure everyone stays aligned on project goals and timelines.

What are Remote Langchain Developers?

Remote Langchain Developers are software professionals who specialize in building applications using the Langchain framework, which is designed to facilitate the development of language model-powered applications. They work from remote locations, collaborating with teams online to integrate large language models (LLMs) like OpenAI's GPT into various products and workflows. Their responsibilities typically include designing, coding, testing, and deploying solutions that leverage Langchain's capabilities for tasks such as data processing, chatbots, document analysis, and more. Remote Langchain Developers must be proficient in Python and have a strong understanding of AI, machine learning, and natural language processing concepts.
More about Remote Langchain Developer jobs
What cities are hiring for Remote Langchain Developer jobs? Cities with the most Remote Langchain Developer job openings:
What are the most commonly searched types of Langchain Developer jobs? The most popular types of Langchain Developer jobs are:
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Infographic showing various Remote Langchain Developer job openings in the United States as of May 2026, with employment types broken down into 86% Full Time, and 14% Part Time. Highlights an 70% Physical, 4% Hybrid, and 26% Remote job distribution, with an average salary of $109,905 per year, or $52.8 per hour.

AI Engineer - GenAI, MLOps & Cloud Platforms - AIRLHV

NavitasPartners

Mesa, AZ โ€ข On-site, Remote

$55.25 - $74/hr

Full-time

Posted 3 days ago


Job description

AI Engineer โ€“ 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.