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Remote Langchain Developer Jobs (NOW HIRING)

... remote environment. Key Responsibilities * Design, build, and deploy AI/ML models for real-world ... LangChain. * Experience working with LLMs, generative AI, prompt engineering, or AI agents

Remote * 5-6 years of experience in Core Application Engineering * Minimum 2 years of hands-on ... Good to have hands-on experience with LangGraph, LangChain, CrewAI & AutoGen * Strong experience in ...

New

Collaborate with cross-functional teams including DevOps, cybersecurity, QA, and product ... Experience working with LLM frameworks and AI SDKs (OpenAI, LangChain, HuggingFace, etc.

Remote Key Responsibilities * Develop, maintain, and support AI agents for enterprise automation ... Understanding of LLM agent frameworks (LangChain, Semantic Kernel, LlamaIndex). * Experience with ...

Sr. Full Stack Developer

$105K - $130K/yr

... LangChain, LlamaIndex, AutoGen, or similar) is required. * Expert proficiency in full-stack web ... LI-Remote Sr. Full Stack Developer Founded in 1990, World Wide Technology (WWT), a global ...

AI Software Engineer

Houston, TX · Remote

$115K - $145K/yr

Remote Level: 2-5 years of professional software development experience Base Salary Range: $115K ... such as LangGraph and LangChain, and you will also build the durable application and data ...

AI Software Engineer

Houston, TX · Remote

$115K - $145K/yr

Remote Level: 2-5 years of professional software development experience Base Salary Range: $115K ... such as LangGraph and LangChain, and you will also build the durable application and data ...

$130K - $171K/yr

Familiarity with tool/agent orchestration frameworks (LangChain, LangGraph, LlamaIndex, custom ... Fully remote, work from home environment * Employee Share Option Plan * Flexible working hours

Senior GenAI/Python Engineer

Chicago, IL · Remote

$124K - $167K/yr

Remote (USA) Employment Type: Full-Time Visa Type: USC / GC Only ✅ Must-Have Qualifications: ✔ ... LangChain, LangGraph, LlamaIndex, function calling, tool usage, or custom agent orchestration ...

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Remote Langchain Developer information

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How much do remote langchain developer jobs pay per hour?

As of Aug 21, 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 is a remote Langchain developer?

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.

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

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.
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Infographic showing various Remote Langchain Developer job openings in the United States as of August 2026, with employment types broken down into 82% Full Time, 2% Part Time, and 16% Contract. Highlights an 80% Physical, 6% Hybrid, and 14% Remote job distribution, with an average salary of $109,905 per year, or $52.8 per hour.

Python Full Stack Engineer

SMART TECH SKILLS LLC

Boston, MA • Remote

Full-time

Posted 9 days ago


Job description

Benefits:
  • Competitive salary

Location
Remote
Experience Level
Mid–Senior Level (4 or more years of experience)
Role Overview
The Python Full Stack Engineer designs, builds, and maintains production-grade web applications end-to-end. This role focuses on developing FastAPI backends, React frontends, and deploying applications on Azure App Services using GitHub CI/CD pipelines. Additionally, the engineer integrates practical AI capabilities—including Azure OpenAI, Azure AI Foundry, LangChain, and prompt engineering—to ship robust features such as Retrieval-Augmented Generation (RAG), smart assistants, and automated tools.
Key Responsibilities

Backend & Frontend Engineering
• Design, build, and maintain scalable backend services and REST APIs in Python using FastAPI, middleware, background tasks, and database integrations.
• Develop and maintain performant, user-friendly, and testable frontend interfaces using React, modern state management, and hooks.
• Apply software engineering best practices, including unit/integration testing, clean architecture, documentation, logging, and performance optimization.
Cloud, DevOps, & Observability
• Deploy, operate, and troubleshoot full-stack web applications on Azure App Services, managing configuration, scaling, and incident response.
• Build and manage automated CI/CD pipelines on GitHub, incorporating automated testing, code quality checks, and deployments.
• Securely integrate core Azure services, including Azure Key Vault, Azure Storage, and Application Insights for observability and monitoring.
AI Integration & Feature Engineering
• Implement practical AI-powered features, smart tools, and assistants using Azure OpenAI and Azure AI Foundry.
• Utilize LangChain or similar frameworks to orchestrate LLM workflows, tools, agents, and Retrieval-Augmented Generation (RAG) patterns.
• Apply structured prompt engineering techniques to ensure reliability, safety, quality, and mitigation of LLM hallucinations.
Required Qualifications
• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
• 4 or more years of professional software engineering experience building and operating production systems.
• Strong Python development capabilities, including typing, packaging, async programming, and clean code organization.
• Solid experience building backend APIs with FastAPI (or similar frameworks), including routing, middleware, authentication, and async I/O.
• Hands-on frontend development experience using React (hooks, state management, API integration, and testing fundamentals).
• Experience deploying and running web applications on Azure App Services or similar PaaS environments.
• Proficiency with Git, GitHub Actions, pull requests, code reviews, and CI/CD pipelines.
• Familiarity with relational or NoSQL database integration within Python backends.
Preferred Qualifications
• Hands-on experience integrating LLMs using Azure OpenAI, Azure AI Foundry, and vector search services (e.g., Azure AI Search).
• Exposure to LangChain or similar frameworks for building LLM workflows, tool-using agents, and RAG architectures.
• Working knowledge of prompt engineering patterns (system prompts, few-shot prompting, structured outputs, and safety guardrails).
• Experience with background task processing frameworks (e.g., Celery, RQ, Azure Functions, or queue systems).
• Experience establishing observability stacks (logging, metrics, tracing) within Azure environments.
• Prior experience in client-facing or consulting technology environments.
Core Skills & Attributes
• Application-first engineering mindset prioritizing clean architecture, maintainability, reliability, and code quality.
• Strong analytical and problem-solving skills to own features end-to-end from technical design through deployment and monitoring.
• Excellent communication and collaborative skills to partner effectively with product, design, and engineering teams.
• Practical approach to evaluating and applying emerging AI capabilities within production software limits.

This is a remote position.