ZipRecruiter

Log In

2

Langchain Remote Jobs (NOW HIRING)

previous page

Showing results 41-60

All JobsRemote JobsLangchain Remote Jobs

Langchain Remote information

See salary details

$28

$32

$36

How much do langchain remote jobs pay per hour?

As of Sep 9, 2026, the average hourly pay for langchain remote in the United States is $32.69, according to ZipRecruiter salary data. Most workers in this role earn between $30.77 and $34.62 per hour, depending on experience, location, and employer.

What is a Langchain remote?

A Langchain Remote job typically refers to a position that involves working with Langchain, an open-source framework for developing applications powered by large language models, from a remote location. Employees in these roles may focus on software development, AI integration, prompt engineering, or related tasks using Langchain tools and libraries. Remote roles offer flexibility in work location, allowing professionals to collaborate online with teams globally. These jobs are popular among those interested in cutting-edge AI technology and remote work culture.

What skills and qualifications are needed to thrive as a Langchain remote developer?

To thrive as a LangChain Remote Developer, you need strong proficiency in Python, experience with language models (LLMs), and a solid understanding of natural language processing concepts. Familiarity with the LangChain framework, cloud platforms (like AWS or Azure), and APIs is typically required, along with experience using version control systems such as Git. Strong problem-solving skills, self-motivation, and effective remote communication are essential soft skills for this role. These competencies are crucial for building scalable, reliable language model applications and collaborating efficiently in distributed teams.

What are common challenges faced by remote Langchain developers and how can they be addressed?

Remote Langchain developers often encounter challenges such as navigating asynchronous communication, staying updated with the rapidly evolving Langchain framework, and effectively collaborating on complex projects. To address these, it's important to establish clear communication channels (like Slack or Microsoft Teams), participate in regular virtual stand-ups, and proactively share progress or blockers. Engaging with the broader Langchain community and leveraging documentation or forums can also help stay current and troubleshoot issues efficiently.

What is the difference between Langchain Remote vs Python Developer?

AspectLangchain RemotePython Developer
Required CredentialsExperience with NLP, AI, and API integration; often self-taught or with specialized coursesBachelor's degree in Computer Science or related field; proficiency in Python
Work EnvironmentRemote, project-based, often freelance or contract rolesRemote or on-site, full-time or freelance roles in software development
Industry UsageAI, NLP, chatbot development, machine learning projectsWeb development, data analysis, automation, software engineering

Langchain Remote roles focus on AI and NLP projects requiring knowledge of language models and API integration, often in a remote, freelance setting. Python Developer roles are broader, covering various software development tasks across industries, with a strong emphasis on Python programming skills. While both can be remote, their core skills and project types differ significantly.

More about Langchain Remote jobs

What cities are hiring for Langchain Remote jobs?

Cities with the most Langchain Remote job openings:

What are the most commonly searched types of Langchain jobs?

The most popular types of Langchain jobs are:

What states have the most Langchain Remote jobs?

States with the most job openings for Langchain Remote jobs include:

What job categories do people searching Langchain Remote jobs look for?

The top searched job categories for Langchain Remote jobs are:

Langchain Remote jobs near you
Infographic showing various Langchain Remote job openings in the United States as of September 2026, with employment types broken down into 93% Full Time, 1% Part Time, and 6% Contract. Highlights an 77% Physical, 4% Hybrid, and 19% Remote job distribution, with an average salary of $68,000 per year, or $32.7 per hour.

Military/Veteran Mental Health Experts - Remote

Austin, TX • Remote

YO AI Labs
See more jobs at YO AI Labsexternal

$200 - $350/hr

Full-time

Posted 12 days ago

Job description

AI/ML Engineer

Job Type: Full-Time
Location: Remote

Job Summary

We are seeking an experienced AI/ML Engineer to build and deploy secure, scalable AI solutions for mission-critical initiatives while contributing to proprietary AI infrastructure. You will work with LLMs, RAG, prompt engineering, multi-agent systems, and cloud AI platforms to develop production-grade machine learning applications.

Key Responsibilities
  • Design, implement, and optimize AI/ML solutions using LLMs, RAG, and prompt engineering.
  • Develop and orchestrate multi-agent systems using LangGraph and LangChain.
  • Deploy AI solutions across secure cloud environments such as AWS GovCloud, Google GovCloud, Azure IL5+, Vertex AI, and AWS Bedrock.
  • Build robust ETL and data pipelines, metadata catalogs, and ontologies for AI training and inference.
  • Develop and maintain REST APIs and SDK integrations.
  • Collaborate with product, security, and engineering teams to deliver secure, scalable solutions.
  • Follow modern secure coding, DevOps, and CI/CD practices.
  • Document technical decisions and communicate complex concepts effectively to technical and non-technical stakeholders.
Required Skills & Qualifications
  • Strong Python proficiency for AI/ML development, including REST APIs and SDK integrations.
  • Hands-on production experience with LLMs, RAG, and prompt engineering.
  • Experience with multi-agent orchestration, tool use, LangGraph, and LangChain.
  • Strong knowledge of cloud AI services, including AWS GovCloud, Google GovCloud, Azure IL5+, Vertex AI, and AWS Bedrock.
  • Experience building data pipelines, ETL processes, metadata catalogs, and ontologies.
  • Strong understanding of secure coding and CI/CD practices.
  • Excellent written and verbal communication skills.
Preferred Qualifications
  • Experience with enterprise AI platforms such as Anthropic for Gov, OpenAI Enterprise, Gemini Enterprise, or Grok Enterprise.
  • Knowledge of MCP, metadata catalog platforms, and advanced API development.
  • Experience working in government, regulated, or security-sensitive cloud environments.
  • Familiarity with relevant compliance and security standards.