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Remote Langchain Developer Jobs in Lawrence, MA (NOW HIRING)

Kobie Marketing

AI Engineer

Boston, MA · Remote

As a remote-first organization headquartered in St. Petersburg, Florida, Kobie values meaningful in ... Build agent harnesses in Python using LangChain and LangGraph, including tool-calling, structured ...

Motorola

Senior AI Engineer (US Remote)

Waltham, MA · Remote

$180K - $210K/yr

Agentic frameworks (LangChain, LlamaIndex, or AWS Bedrock Agents) Development Stack: * Python (AI ... Prompt engineering & optimization * Model evaluation & testing frameworks * AI observability ...

MatrixSpace

Machine Learning Engineer

Burlington, MA · Remote

$165K - $200K/yr

S. government security clearance in the future.' This is NOT a fully remote position! Required ... Experience with LangChain, LangGraph, LlamaIndex, AutoGen, Semantic Kernel, or similar frameworks.

eNett

Senior Backend Engineer - AI Platform

Boston, MA · On-site +1

$133K - $175K/yr

This is a remote position; however, the candidate must reside within 30 miles of one of the ... Build and optimize LLM-powered services (e.g., OpenAI APIs, LangChain) for production-grade ...

WEX

Senior Backend Engineer - AI Platform

Boston, MA · On-site +1

$133K - $175K/yr

This is a remote position; however, the candidate must reside within 30 miles of one of the ... Build and optimize LLM-powered services (e.g., OpenAI APIs, LangChain) for production-grade ...

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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 Lawrence, MA is $55.44, according to ZipRecruiter salary data. Most workers in this role earn between $42.36 and $67.84 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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Full Stack AI Engineer

BIRDSVUE LLC

Dunstable, MA • Remote

$60 - $70/hr

Full-time

Retirement

Posted 23 days ago

Job description

Benefits:
  • 401(k)
  • Competitive salary

Full Stack AI EngineerIntroduction: We are seeking a highly motivated Full Stack AI Engineer who can design, build, and scale production-grade AI applications from concept to deployment. You will work directly with product leadership and customers to create intelligent systems leveraging LLMs, AI agents, Retrieval-Augmented Generation (RAG), Model Context Protocol (MCP), and modern cloud-native architectures.
Responsibilities:
AI & Agentic Systems
  • Design and develop AI-powered applications using OpenAI, Azure OpenAI, Anthropic, Gemini, and open-source models.
  • Build multi-agent and agentic workflows using LangGraph, LangChain, Semantic Kernel, CrewAI, or equivalent frameworks.
  • Develop Retrieval-Augmented Generation (RAG) solutions using embeddings, vector databases, document indexing, and knowledge retrieval systems.
  • Integrate AI models with enterprise systems, APIs, SaaS platforms, and business workflows.
  • Design prompt orchestration, evaluation frameworks, guardrails, observability, and AI governance controls.
Full Stack Development
  • Build scalable frontend applications using React, Next.js, TypeScript, and modern UI frameworks.
  • Develop backend services, APIs, microservices, and event-driven architectures using Python (FastAPI), Node.js, or .NET.
  • Design and optimize SQL and NoSQL databases.
  • Implement authentication, authorization, and secure enterprise-grade integrations.
  • Create reusable APIs and SDKs for AI capabilities across multiple products.
Cloud & Platform Engineering
  • Deploy AI applications on Azure, AWS, or Google Cloud Platform.
  • Build containerized services using Docker and Kubernetes.
  • Implement CI/CD pipelines, infrastructure-as-code, monitoring, and observability.
  • Optimize AI infrastructure for scalability, performance, and cost efficiency.
Product & Innovation
  • Partner with product managers and customers to translate business challenges into AI solutions.
  • Rapidly prototype and productionize AI use cases.
  • Evaluate emerging AI technologies and recommend adoption strategies.
  • Contribute to AI platform roadmap and innovation initiatives.
Requirements:
Required Qualifications:
  • Bachelor''s degree in Computer Science, Engineering, or related field.
  • 5+ years of full-stack software development experience.
  • Strong proficiency in: 
    • Python
    • TypeScript / JavaScript
    • React / Next.js
    • Node.js or FastAPI
  • Experience building REST APIs and microservices.
  • Hands-on experience with: 
    • OpenAI / Azure OpenAI APIs
    • RAG architectures
    • Vector databases (Pinecone, Weaviate, FAISS, Chroma, Azure AI Search)
    • LangChain, LangGraph, Semantic Kernel, or similar frameworks
  • Experience with Docker, Kubernetes, and cloud-native architectures.
  • Strong understanding of software engineering best practices, testing, CI/CD, and Agile development.

This is a remote position.