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Part Time Langchain Jobs (NOW HIRING)

Familiarity with RAG architectures and AI agent frameworks such as LangChain, LlamaIndex, AutoGen ... part-time during the academic year based on business needs and candidate availability * Remote ...

This is a part-time, work-study-based opportunity for active students in master's and PhD programs ... Experience with GenAI, LLMs, and agentic frameworks (LangChain, AutoGen). * Strong problem-solving ...

AI Engineer

San Antonio, TX · On-site +1

$99K - $225K/yr

Experience designing and implementing intelligent AI agent architectures using LangChain, LangGraph ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Familiarity with RAG architectures and AI agent frameworks such as LangChain, LlamaIndex, AutoGen ... part-time during the academic year based on business needs and candidate availability * Remote ...

AI Engineer

Mclean, VA · On-site

$99K - $225K/yr

Experience building LLM systems using RAG frameworks such as LangChain and LlamaIndex, or custom ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Familiarity with RAG architectures and AI agent frameworks such as LangChain, LlamaIndex, AutoGen ... part-time during the academic year based on business needs and candidate availability * Remote ...

Showing results 21-40

Part Time Langchain information

What is a part time Langchain?

A Part Time Langchain job involves working with LangChain, an open-source framework used to develop applications powered by large language models (LLMs), on a part-time basis. Individuals in this role typically build, test, and deploy AI-driven solutions, such as chatbots or data analysis tools, using LangChain's tools and libraries. Responsibilities may include integrating APIs, designing conversational workflows, and optimizing language model outputs. Part-time roles offer flexibility, making them attractive to students, freelancers, or professionals seeking supplementary income.

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

To thrive as a Part-Time LangChain Developer, you need a solid understanding of Python programming, experience with natural language processing (NLP), and familiarity with LangChain’s framework. Proficiency in tools like OpenAI APIs, vector databases (such as Pinecone or FAISS), and Git for version control is typically required. Strong problem-solving abilities, clear communication, and the ability to work independently are valuable soft skills in this role. These skills ensure you can efficiently build, test, and deploy AI-powered applications while collaborating effectively in a flexible, often remote, environment.

What are some common challenges faced by part time Langchain developers, and how can they effectively manage their workload?

Part Time Langchain developers often juggle multiple projects or responsibilities, which can make time management and communication challenging. Balancing core development tasks like building and maintaining language processing pipelines while staying updated with evolving Langchain tools requires efficient organization. To succeed, it’s important to set clear priorities, regularly communicate progress with team members, and leverage project management tools to track tasks. Collaborating closely with full-time developers and participating in key meetings helps ensure alignment and smooth project delivery, even with limited hours.

What is the difference between Part Time Langchain vs Part Time Data Scientist?

AspectPart Time LangchainPart Time Data Scientist
Required CredentialsKnowledge of NLP, Python, APIsDegree in Data Science, Statistics, or related field
Work EnvironmentTech companies, startups, AI projectsResearch labs, tech firms, analytics departments
Employer & Industry UsageAI development, chatbot creation, automationData analysis, predictive modeling, insights generation
Common Search & ComparisonFocus on AI tools, NLP, automationFocus on data analysis, machine learning, insights

Part Time Langchain roles typically involve working with AI tools, NLP, and automation projects, requiring skills in Python and API integration. In contrast, Part Time Data Scientist positions focus on analyzing data, building models, and deriving insights, often requiring a background in statistics or data analysis. Both roles are common in tech industries but serve different functions within AI and data analysis domains.

More about Part Time Langchain jobs

What are the most commonly searched types of Langchain jobs?

The most popular types of Langchain jobs are:

Infographic showing various Part Time Langchain job openings in the United States as of August 2026, with employment types broken down into 94% Full Time, 1% Part Time, and 5% Contract. Highlights an 78% Physical, 5% Hybrid, and 17% Remote job distribution.

Senior Python Data Scraping Engineer (Freelance)

Mindrift

New York, NY • On-site, Remote

$45/hr

Part-time

This job post has expired today. Applications are no longer accepted.


Job description

Mindrift is looking for highly skilled Vibecode specialists to join the Tendem project (https://tendem.ai/) and drive specialized data scraping workflows for real-world use cases. Mindrift is looking for highly skilled Senior Python Data Scraping Engineers to join the Tendem project and drive specialized data scraping workflows for real-world applications. In this role, you'll apply your expertise in web scraping, data extraction, and data processing to deliver accurate, reliable, and high-quality results. This part-time remote opportunity is ideal for technical professionals with hands-on experience in web scraping, data extraction and processing.
What We Do
The Mindrift platform connects specialists with innovative technology projects. Our mission is to help develop high-quality AI technologies by combining real-world expertise from professionals across the globe with advanced AI development efforts.
About the Role
This is a freelance role for a Tendem project. As a Senior Python Data Scraping Engineer, you'll handle data scraping tasks requiring technical precision for web extraction and processing, utilizing tools such as Apify, OpenRouter, and other technologies, alongside your own technical expertise and approaches.
Key Responsibilities
  • Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets.
  • Leverage available tools and custom workflows to accelerate data collection, validation, and task execution while meeting defined requirement.
  • Ensure reliable extraction from dynamic and interactive web sources, adapting approaches as needed to handle JavaScript-rendered content and changing site behavior.
  • Enforce data quality standards through validation checks, cross-source consistency controls, adherence to formatting specifications, and systematic verification prior to delivery.
  • Scale scraping operations for large datasets using efficient batching or parallelization, monitor failures, and maintain stability against minor site structure changes.

Educational qualifications
  • At least 5+ years of relevant experience in data engineering, web scraping, automation, or software development (required).
  • Bachelor's or Master's Degree in Engineering, Applied Mathematics, Computer Science, or related technical fields is a plus.

Academic and/or Professional Experience
Candidates should have a strong technical foundation and practical experience with scripting, automation, and data extraction workflows. We are looking for specialists who can solve non-trivial problems, work confidently with modern development tools and technologies, and systematically collect, structure, and validate data from diverse sources. A methodical, detail-oriented approach and the ability to work independently are essential.
Technical Skills (Essential)
  • Strong experience in Python web scraping (BeautifulSoup, Selenium or similar), including dynamic content (JS, AJAX, infinite scroll) and APIs via proxies
  • Proven ability to extract data from complex structures (hierarchies, archived pages, inconsistent HTML)
  • Solid background in data cleaning, normalization, and validation, delivering structured datasets (CSV, JSON, Google Sheets)

Additional requirements
  • Demonstrated experience handling anti-bot mechanisms and dynamic site structures at scale
  • Experience with cloud infrastructure (AWS or equivalent) and containerization (Docker) as part of real workflows
  • Hands-on experience with LLM frameworks (LangChain, OpenRouter, or similar) applied to automation tasks
  • Strong attention to detail and commitment to data accuracy
  • Self-directed work ethic with ability to troubleshoot independently
  • A link to GitHub is a plus
  • English proficiency: Upper-intermediate (B2) or above (required)

Project time expectations
For this project, tasks are estimated to require around 10-20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.
Compensation
On this project, contributors can earn up to $45 per hour equivalent, depending on their level and pace of contribution. Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.