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Langchain Remote Jobs (NOW HIRING)

This role follows a hybrid, remote-flexible work model with opportunities for onsite collaboration ... Deep hands-on experience with LLM frameworks - LangChain, LangGraph, LlamaIndex, OpenAI/Anthropic ...

Senior AI Application Engineer

Tampa, FL · On-site +1

$120K - $140K/yr

This role follows a hybrid, remote-flexible work model with opportunities for onsite collaboration ... Deep hands-on experience with LLM frameworks -- LangChain, LangGraph, LlamaIndex, OpenAI/Anthropic ...

Senior Data Engineer - AI/ML

$117K - $140K/yr

Title: Sr Data Engineer Remote Required Skills & Qualifications • Strong experience in data ... LangChain, LangGraph, CrewAI, AutoGen, or similar • Familiarity with vector databases (Pinecone ...

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 ...

$94K - $124K/yr

Familiarity with LLMs, LangChain, LangGraph, ML observability tools, experiment tracking, or open-source framework development is highly desirable. Benefits * Fully remote contract opportunity within ...

AI Consultant

Atlanta, GA · Remote

$75 - $80/hr

We have a JOB FOR YOU!!! 100% Remote. We are looking for an AI consultant to join our innovative ... Architect and implement innovative AI solutions, leveraging frameworks like LangChain and LangGraph ...

Build and manage data indexing and retrieval pipelines using LlamaIndex , LangChain , or similar ... Flexible, remote-first work environment. * Opportunities to define and build the AI roadmap of a ...

Sr. Data Scientist

San Francisco, CA · Remote

$162K - $238K/yr

Build Agentic AI workflows leveraging frameworks such as LangGraph and LangChain. * Own the end-to ... remote Notice of Collection and Use of Personal Information for California Residents: California ...

Remote Virtual, work-from-home position. Work anywhere in the US, must live in the US ABOUT ... Create data pipelines and AI model context protocols, leveraging tools like MCP, LangChain, vector ...

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Langchain Remote information

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How much do langchain remote jobs pay per hour?

As of Jul 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 job?

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 are some 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.

What are the key skills and qualifications needed to thrive as a LangChain Remote Developer, and why are they important?

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.
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:
Infographic showing various Langchain Remote job openings in the United States as of July 2026, with employment types broken down into 5% Locum Tenens, 18% As Needed, 67% Full Time, 1% Part Time, 3% Contract, and 6% Nights. Highlights an 79% Physical, 4% Hybrid, and 17% Remote job distribution, with an average salary of $68,000 per year, or $32.7 per hour.
AI/ML Engineer

Full-time

Posted 10 days ago


Job description

Overview

FTI Defense is seeking a hands-on AI/ML Engineer to design, build, and deploy advanced machine learning solutions supporting defense and national security missions. This role focuses on execution in oversight, ideal for an engineer who thrives in the code, enjoys building end-to-end pipelines, and takes pride in seeing their work directly impact operational systems.

FTI Defense delivers mission-focused solutions to the Department of Defense/Depratment of War (DoD/DoW) and Intelligence Community (IC) through advanced engineering, digital transformation, and program execution expertise. We help our customers solve complex challenges and achieve mission success by integrating people, process, and technology.

Responsibilities
  • Design, develop, and deploy AI/ML models and pipelines that meet mission and performance objectives.
  • Build, train, and fine-tune models using frameworks such as PyTorch, TensorFlow, scikit-learn, Hugging Face, and LangChain.
  • Develop and operationalize MLOps pipelines (MLflow, Kubeflow, DVC, or custom training/inference orchestration).
  • Implement and optimize vector databases (Milvus, Pinecone, Chroma, FAISS) and retrieval architectures (RAG, graph, hybrid).
  • Write clean, efficient Python code for data ingestion, feature engineering, embeddings, and inference services.
  • Experiment with fine-tuning and optimization of LLMs and task-specific models (LoRA, QLoRA, PEFT).
  • Contribute to agent-based applications using frameworks like LangGraph, AutoGen, CrewAI, or DSPy.
  • Integrate AI services into real-world systems via APIs, event-driven workflows, or UI copilots.
  • Collaborate with data engineers, software developers, and mission analysts to ensure AI models are production-ready and aligned with customer needs.
  • Participate in peer reviews, contribute to shared repositories, and document models and experiments for reproducibility.
Education/Qualifications

Minimum Requirements:

  • Must be a U.S. citizen and be willing to obtain and maintain a security clearance, as needed.
  • 6-10+ years of professional experience developing and deploying AI/ML solutions in production environments.
  • Minimum of 3 years' professional experience within the Department of Defense/Department of War (DoD/DoW) AI assurance, security, and deployment environments.
  • Strong Python development skills with hands-on experience building AI/ML solutions.
  • Direct experience with ML frameworks such as PyTorch, TensorFlow, scikit-learn, Hugging Face, or LangChain.
  • Proven ability to build and deploy MLOps pipelines using MLflow, Kubeflow, DVC, or equivalent.
  • Working knowledge of vector databases (Milvus, Pinecone, Chroma, FAISS) and retrieval-based architectures (RAG, hybrid, graph).
  • Professional experience fine-tuning and evaluating LLMs or smaller task-specific models using LoRA, QLoRA, or PEFT.
  • Professional experience integrating AI capabilities into production systems or mission applications.

 Preferred Qualifications:

  • Familiarity with agentic frameworks (LangGraph, AutoGen, CrewAI, DSPy) and multi-agent reasoning.
  • Understanding of prompt engineering, retrieval quality, and grounding methods.
  • Exposure to GPU-based or edge inference environments.
  • Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related technical field.
  • Active Secret clearance preferred; ability to obtain one is required.

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Employment Type: FULL_TIME