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Part Time Langchain Jobs (NOW HIRING)

... to part-time, non-permanent projects. Ideally, contributors will have: * 5+ years of hands-on ... Knowledge of modern frameworks (TensorFlow, PyTorch, LangChain) * Strong written English (C1+). How ...

Fractional Chief Technology Officer (CTO) Part-Time / Fractional | 10-30 Hours Per Week | Remote ... LangChain * Vector databases * Experience supporting SaaS startups or early-stage technology ...

... to part-time, non-permanent projects. Ideally, contributors will have: * 5+ years of hands-on ... Knowledge of modern frameworks (TensorFlow, PyTorch, LangChain) * Strong written English (C1+). How ...

Agentic AI Engineer

Annapolis, MD · On-site

$99K - $225K/yr

... using LangChain, LangGraph, and AutoGen. * Develop and deploy multi-agent systems using Model ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Agentic AI Engineer

Bethesda, MD · On-site

$99K - $225K/yr

... using LangChain, LangGraph, and AutoGen. * Develop and deploy multi-agent systems using Model ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Studio Employment Type: Part Time Location: Cambridge Compensation: $100.00 - $150.00 / hour ... LangChain, cloud platforms, or workflow automation systems * Strong problem-solving and analytical ...

Research Assistants

University Park, PA · On-site

$18.75 - $26/hr

... part-time Research Assistants for the Spring 2025, Summer 2025, and Fall 2025 semesters. The ... Familiarity with machine learning libraries or NLP tools (e.g., PyTorch, Transformers, LangChain ...

$19 - $26/hr

... part-time Research Assistants for the Spring 2025, Summer 2025, and Fall 2025 semesters. The ... Familiarity with machine learning libraries or NLP tools (e.g., PyTorch, Transformers, LangChain ...

$100 - $150/hr

... in a part-time capacity. This role is designed for entrepreneurial and technically strong ... LangChain, cloud platforms, or workflow automation systems * Strong problem-solving and analytical ...

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Part Time Langchain information

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

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 a Part Time Langchain job?

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 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 May 2026, with employment types broken down into 1% As Needed, 57% Full Time, 41% Part Time, and 1% Temporary. Highlights an 99% Physical, and 1% Hybrid job distribution.
Instructor, Gen AI, Simplilearn (Part time)

Instructor, Gen AI, Simplilearn (Part time)

Fullstack Academy

Remote

$50/hr

Part-time

Posted 29 days ago


Job description

About: Simplilearn
Simplilearn is the world's #1 online Bootcamp provider, enabling learners around the globe with rigorous and highly specialized training offered in partnership with world-renowned universities and leading corporations. We focus on emerging technologies and skills, such as data science, cloud computing, programming, and more - that are transforming the global economy. Our training is hands-on and immersive, including live virtual classes, integrated labs and projects, 24x7 support, and a collaborative learning environment. Over two million professionals and 2000 corporate training organizations across 150 countries have harnessed our award-winning programs to achieve their career and business goals.
Simplilearn has collaborated with Full stack Academy to leverage its widespread footprint in the US region and partnerships with Top US universities to grow internationally
Job Summary
We are seeking experienced Generative AI Trainers to deliver live online training sessions covering modern generative models, LLMs, LangChain, RAG, and prompt engineering with hands-on demos and projects.
Key Responsibilities
  • Deliver live, instructor-led online classes
  • Conduct hands-on demos, guided practices, and projects
  • Explain concepts using real-world use cases
  • Address learner queries and ensure engagement
Required Skills & Expertise
Generative AI & Foundation Models
  • Generative AI model types and applications
  • VAEs and GANs (architecture, use cases, limitations)
  • Transformer-based models and attention mechanisms
  • Self-attention and multi-head attention
Language Models & LLMs
  • Language models fundamentals and applications
  • Large Language Models (architecture, training, operations, types)
Retrieval-Augmented Generation (RAG)
  • RAG concepts, components, retrievers, and workflows
  • Real-world applications of RAG
LangChain
  • LangChain architecture and core components
  • Building applications using LangChain
  • Prompt, memory, chains, and model integration
  • Text generation pipelines with Hugging Face models
Prompt Engineering
  • Prompt fundamentals and optimization
  • Zero-shot, few-shot, CoT, Self-Consistency, ToT prompting
  • Prompt templates and LangChain prompts
  • Prompt engineering applications (data & synthetic data generation)
Model I/O & Data Handling
  • Model I/O (prompts, LLMs, output parsers)
  • Document loaders (CSV, PDF, HTML, JSON, Markdown)
  • Text splitters and embeddings in GenAI
Qualifications
  • 10+ years of experience in Generative AI / NLP / LLMs
  • Strong proficiency in Python, LLM frameworks, and LangChain
  • Prior online or classroom training experience

Benefits
Compensation:
Part-Time Instructors are hourly, non-exempt employees. As such they will be compensated for all time worked. Part-time Instructors can expect to work approximately 8-10 hours per week and should not exceed expected hours without manager approval.
The expected compensation for this role for candidates is $50 per hour for candidates who fulfill the qualifications for the role.