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Part Time Langchain Developer Jobs (NOW HIRING)

Booz Allen Hamilton, Inc.

Agentic AI Engineer

Mclean, VA · On-site

$77K - $176K/yr

Experience with agent orchestration frameworks such as LangChain, AutoGen, CrewAI, or custom agent ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Booz Allen Hamilton, Inc.

Agentic AI Engineer

Mclean, VA · On-site

$112K - $257K/yr

... LangChain, LangGraph, AutoGen, PydanticAI, CrewAI, or LlamaIndex * Experience with MCP for tool ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Booz Allen Hamilton, Inc.

AI/ML Engineer

Norfolk, VA · On-site

$77K - $176K/yr

Experience with generative and agentic AI technologies, such as LLMs, MCP, LangChain, or LangGraph ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

C10 Labs

$100 - $150/hr

Our ecosystem combines capital, engineering, operators, and industry expertise to help build ... in a part-time capacity. This role is designed for entrepreneurial and technically strong ...

C10 Labs

Enterprise AI Venture Fellow

Cambridge, MA · On-site

$100 - $150/hr

Studio Employment Type: Part Time Location: Cambridge Compensation: $100.00 - $150.00 / hour ... Our ecosystem combines capital, engineering, operators, and industry expertise to help build ...

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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 Jul 11, 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 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.

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 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 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.
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:
What job categories do people searching Part Time Langchain Developer jobs look for? The top searched job categories for Part Time Langchain Developer jobs are:
Part Time Langchain Developer jobs near you
Infographic showing various Part Time 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.
Part Time Instructor - Fullstack AI

Part Time Instructor - Fullstack AI

Fullstack Academy

Remote

Part-time

Posted 17 days ago

Job description

About Us
Fullstack Academy is a leading tech training bootcamp in the United States. From coding and artificial intelligence to cybersecurity and data analytics, we offer immersive online programs designed to prepare students for careers in high-growth technology sectors.
Our programs focus on practical, career-oriented education that helps professionals transition into in-demand technology roles. We are passionate about transforming lives through education and empowering students to build successful careers in technology.
Simplilearn has collaborated with Fullstack Academy to leverage its widespread footprint in the US region and partnerships with Top US universities to grow internationally.
Position Overview
The Part-Time Instructor for Fullstack AI plays a key role in delivering engaging and impactful learning experiences to adult learners enrolled in our online programs.
Instructors facilitate curriculum content, support student learning, and connect technical concepts to real-world industry applications. This role involves teaching live online sessions, mentoring students, providing feedback, and contributing to a collaborative instructional environment.
Classes are delivered 100% online in a synchronous format
Key Responsibilities
Instruction & Student Engagement
  • Deliver assigned lessons aligned with curriculum learning objectives and session plans.
  • Facilitate engaging live online instruction using instructional best practices for adult learners.
  • Provide subject matter expertise in Fullstack AI
  • Connect course content to real-world industry applications and professional practices.
  • Encourage collaboration, critical thinking, and problem-solving within the classroom environment.
Student Support & Mentorship
  • Provide individualized student support during live sessions and scheduled office hours.
  • Maintain regular communication with students regarding progress, expectations, and milestones.
  • Respond to student and staff communications in a timely and professional manner.
  • Provide clear, constructive, and timely feedback on assignments and assessments.
Performance Monitoring
  • Evaluate student progress based on course deliverables and established grading rubrics.
  • Maintain accurate documentation of student performance and engagement.
  • Identify and escalate academic or performance concerns to the Lead Instructor or appropriate staff.
  • Support performance improvement plans when necessary.
Collaboration & Professional Conduct
  • Adhere to institutional policies and instructional team standards.
  • Foster an inclusive, respectful, and professional learning environment.
  • Serve as a role model and mentor for students.
  • Collaborate with instructional staff and program teams to improve the student learning experience.
  • Represent the organization professionally when interacting with students, staff, and external stakeholders.

Required Qualifications
Education and Experience
You are a great candidate for this role if you have:
  • 7+ years of experience in full stack web development, with strong hands-on expertise in frontend and backend technologies.
  • Proficiency in JavaScript, React, Node.js, Express.js, MongoDB, and RESTful APIs; knowledge of Python frameworks (Django, Flask) is a plus.
  • Solid understanding of frontend tools and workflows, including HTML5, CSS3, modern JavaScript frameworks, and responsive design principles.
  • Experience with cloud platforms (AWS, Azure, or GCP) for application deployment, containerization, and CI/CD integration.
  • Exposure to Generative AI technologies, including OpenAI APIs, LangChain, Hugging Face Transformers, or Stable Diffusion, and experience integrating AI models into full stack solutions.
  • Familiarity with prompt engineering, LLM-based application design, and AI-assisted coding tools (e.g., GitHub Copilot, ChatGPT).
  • Strong understanding of software development lifecycle (SDLC), version control (Git), and agile development methodologies.
  • (Preferred) Prior teaching, mentoring, or technical training experience in academic or professional settings.
  • (Preferred) A Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
  • Excellent communication and presentation skills, with the ability to make complex technical topics engaging and accessible.
  • A passion for teaching, mentoring, and staying current with emerging trends in AI-driven development and web technologies.
  • Professionalism, integrity, and empathy in all interactions with learners and team members.

Knowledge, Skills, and Abilities
  • Conduct live online classes, mentor learners through hands-on coding projects, capstone assignments, and Generative AI integrations, and offer professional guidance based on your real-world experience.
  • You'll help bridge the gap between traditional full stack development and the rapidly evolving AI-driven landscape, empowering learners to build intelligent, scalable, and production-ready web applications.
  • You will engage learners with real-world case studies, code walkthroughs, and best practices in modern development stacks from frontend (React, Angular, or similar) to backend (Node.js, Express.js, or Django)
  • Demonstrate how to leverage AI tools such as OpenAI APIs, LangChain, and other generative frameworks to streamline development and enhance user experiences.

Work Schedule
Part-Time instructors typically work 10-15 hours per week depending on cohort schedules.
Current AIML cohorts meet during evening hours:
  • Monday, Wednesday, and Thursday
  • Sessions typically run 7:00 PM - 10:00 PM CST
  • Flexibility for evening availability is required.

Compensation
The anticipated pay range for this position is $50 - $60 per hour, depending on qualifications and experience.
This position is classified as Part-Time, Non-Exempt, and employees will be compensated for all hours worked in accordance with applicable federal and state wage and hour laws.
Equal Employment Opportunity
We are committed to creating an inclusive environment for all employees and applicants. Employment decisions are made without regard to race, color, religion, sex, gender identity, sexual orientation, national origin, age, disability, veteran status, or any other protected characteristic under applicable law.
Work Authorization
Applicants must be legally authorized to work in the United States at the time of application and throughout employment.

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