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Remote Langchain Developer Jobs (NOW HIRING)

$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

... remote capacity. The Principal Engineer will be spearheading the development of a cutting-edge ... LangChain, etc.) • Expertise in prompt engineering for specialized domains. • Strong software ...

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

Senior Agentic AI Developer

El Segundo, CA · On-site +1

$58 - $76.75/hr

Remote Job Type: Full-Time Remote Employment: Remote Optional Job Number: 00898.1 Department ... LangChain * LlamaIndex * AutoGen / CrewAI / Other Multi-Agent Framework * Custom in-house ...

Lakeland, FL, 33811 Remote Role * Local-First AI Expertise: Proven track record deploying and ... Heavy hands-on experience with PyTorch, Hugging Face, and orchestration layers like LangChain ...

AI/ ML Engineer

New York, NY · Remote

$60 - $62/hr

US/ Canada- Remote Minimum exp. required: 8+ yrs. We are looking for a GenAI Engineer to design ... Hands-on experience with LLMs and GenAI frameworks (LangChain, LlamaIndex, OpenAI APIs, Hugging ...

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Remote Langchain Developer information

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How much do remote langchain developer jobs pay per hour?

As of Jul 11, 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.

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 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.

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:
What states have the most Remote Langchain Developer jobs? States with the most job openings for Remote Langchain Developer jobs include:
What job categories do people searching Remote Langchain Developer jobs look for? The top searched job categories for Remote Langchain Developer jobs are:
Infographic showing various Remote Langchain Developer job openings in the United States as of July 2026, with employment types broken down into 85% Full Time, 3% Part Time, 1% Temporary, and 11% Contract. Highlights an 82% Physical, 3% Hybrid, and 15% Remote job distribution, with an average salary of $109,905 per year, or $52.8 per hour.

$130K - $171K/yr

Full-time

PTO

Re-posted 29 days ago


Job description

Job description
This role is focused on experienced, hands-on engineers who can take end-to-end ownership of complex full-stack systems-spanning TypeScript, React, Node.js, and generative AI integrations-and operate effectively in a fast-moving, early-stage environment. You will be expected to translate ambiguous product goals into reliable, scalable solutions, contribute directly to core platform architecture, and collaborate closely with product, design, and leadership to deliver real-world AI capabilities used in production by customers.
Job requirements
  • Hands-on implementation of LLM-powered systems (applications, agents, workflows).
  • Experience with RAG, embeddings, vector search, or evaluation methodologies.
  • Familiarity with tool/agent orchestration frameworks (LangChain, LangGraph, LlamaIndex, custom frameworks, etc.).
  • Understanding of model behaviour, prompting strategies, and practical guardrail patterns.
  • Strong programming ability in TypeScript, React, Node.js
  • Experience building user-facing and backend systems end-to-end.
  • Ability to contribute across the entire stack without needing months of ramp-up.
  • 5-10+ years professional engineering experience (typically senior-level).
  • Strong architecture, debugging, and performance optimization skills.
  • Familiarity with OpenTelemetry, distributed systems, eventing, or cloud-based observability concepts.

Nice to Have:
  • Exposure to evaluation frameworks, safety systems, or LLM traceability.
  • Experience with Python for AI workflows or backend services.
  • Experience with data pipelines, vector databases, or scalable ML infrastructure.
  • Contributions to open-source AI frameworks (LangChain, LlamaIndex, Transformers, etc.)

Job responsibilities
  • Design, implement, and ship production-grade Gen AI capabilities.
  • Build full-stack product features using TypeScript, React, Node.js, and modern tooling.
  • Contribute to the development of our observability and AI-tracing systems
  • Build internal frameworks and reusable components that accelerate GenAI feature delivery.
  • Take end-to-end ownership of features-from requirements shaping through implementation, testing, release, and iteration.
  • Operate autonomously in ambiguity, making pragmatic engineering decisions aligned with product goals.
  • Diagnose and improve performance, reliability, and quality of AI-driven systems.
  • Partner closely with Product, Design, and other Engineers to shape solutions.
  • Participate actively in code reviews, architectural discussions, and internal technical debates.

Job benefits
  • Fully remote, work from home environment
  • Employee Share Option Plan
  • Flexible working hours
  • Paid Time-Off
  • Periodic in-person offsites globally (travel permitting)
  • Continued education support
  • Advancement opportunity