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Part Time Langchain Developer 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 ...

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 ...

... 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

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 ...

This part-time remote opportunity is ideal for technical professionals with hands-on experience in ... As a Senior Python Data Scraping Engineer , you'll handle data scraping tasks requiring technical ...

AI Engineer

Reston, VA · On-site

$99K - $225K/yr

Experience implementing advanced prompting strategies, LangChain or LlamaIndex AI orchestration ... Bachelor's degree Nice If You Have: * Experience collaborating with MLOps, DevOps, and ...

AI Engineer

Reston, VA · On-site

$99K - $225K/yr

Experience implementing advanced prompting strategies, LangChain or LlamaIndex AI orchestration ... Bachelor's degree Nice If You Have: * Experience collaborating with MLOps, DevOps, and ...

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Part Time Langchain Developer information

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$17

$52

$81

How much do part time langchain developer jobs pay per hour?

As of May 31, 2026, the average hourly pay for part time 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.

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 background in Python programming, knowledge of natural language processing (NLP), and experience with AI/ML concepts, ideally supported by relevant education or project work. Familiarity with the Langchain framework, APIs, and version control systems like Git is typically required. Strong problem-solving skills, adaptability, and effective remote communication are valuable soft skills for this role. These abilities enable developers to efficiently design, implement, and maintain complex language-based solutions while collaborating within distributed teams.

What are some challenges unique to working as a part-time Langchain Developer, and how can they be managed?

As a part-time Langchain Developer, one common challenge is staying updated with the rapid developments in the Langchain ecosystem and related AI technologies while managing limited working hours. Effective communication with the team is crucial, as project priorities and requirements may evolve quickly. To overcome these challenges, it's helpful to set aside regular time for learning, participate in team stand-ups, and leverage documentation or code repositories to stay aligned with ongoing work. Proactively seeking feedback and clarifications can also ensure your contributions remain impactful despite the part-time schedule.

What are Part Time Langchain Developers?

Part Time Langchain Developers are software professionals who specialize in building applications using the Langchain framework, but work fewer hours than a full-time employee—typically 20-30 hours per week or on a flexible schedule. Langchain is an open-source framework designed for developing applications powered by large language models (LLMs) like GPT. These developers may create tools, chatbots, or workflow automations that leverage language models, often collaborating remotely or as freelancers. Working part time allows them to support multiple projects or balance other commitments while still contributing technical expertise to AI-driven solutions.

What is the difference between Part Time Langchain Developer vs Part Time Python Developer?

AspectPart Time Langchain DeveloperPart Time Python Developer
Required SkillsExperience with Langchain, NLP, API integrationProficiency in Python, scripting, software development
Work EnvironmentRemote or freelance projects involving AI and NLPVaried industries, software development projects
CertificationsKnowledge of AI, NLP, or related certifications helpfulPython certifications or coding bootcamps
Industry UsageAI, NLP, chatbot developmentWeb development, data analysis, automation

Both roles involve programming skills, but a Part Time Langchain Developer specializes in AI and NLP applications using Langchain, while a Part Time Python Developer focuses on general Python programming across various industries. The choice depends on your interest in AI-specific projects versus broader software development tasks.

More about Part Time Langchain Developer jobs
What cities are hiring for Part Time Langchain Developer jobs? Cities with the most Part Time Langchain Developer job openings:
What are the most commonly searched types of Langchain Developer jobs? The most popular types of Langchain Developer jobs are:
Infographic showing various Part Time Langchain Developer job openings in the United States as of May 2026, with employment types broken down into 1% As Needed, 95% Full Time, 3% Contract, and 1% Nights. Highlights an 67% Physical, and 33% Remote job distribution, with an average salary of $109,905 per year, or $52.8 per hour.
Instructor, Gen AI, Simplilearn (Part time)

Instructor, Gen AI, Simplilearn (Part time)

Fullstack Academy

Remote

$50/hr

Part-time

Posted 5 hours 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.