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Internship Langchain Developer Jobs (NOW HIRING)

AI Agents Developer - Interns ( Part time )

Reston, VA · On-site

$20 - $26.25/hr

AI Agents Developer I Interns Only. 📍 Location: Reston (Onsite/Hybrid) About the Role: We are ... Experience with agent frameworks (LangChain, AutoGen, CrewAI, etc.) * Strong programming skills in ...

New

Contribute to agent workflows and tool-use orchestration using frameworks such as LangChain, with ... Up to 2 years of practical experience (internships, co-ops, or substantial academic/personal ...

Contribute to agent workflows and tool-use orchestration using frameworks such as LangChain, with ... Up to 2 years of practical experience (internships, co-ops, or substantial academic/personal ...

Contribute to agent workflows and tool-use orchestration using frameworks such as LangChain, with ... Up to 2 years of practical experience (internships, co-ops, or substantial academic/personal ...

Contribute to agent workflows and tool-use orchestration using frameworks such as LangChain, with ... Up to 2 years of practical experience (internships, co-ops, or substantial academic/personal ...

Federal AI Solutions Engineer

Mclean, VA · On-site

$85K - $105K/yr

LangChain, LlamaIndex, Semantic Kernel, CrewAI, or similar frameworks * Develop and test prompt ... Relevant internships, research projects, capstone projects, graduate assistantships, or co-op ...

CA · On-site

Experience with agentic AI or LLM orchestration frameworks such as LangChain, LangGraph, CrewAI ... Demonstrated interest in generative AI through academic projects, hackathons, internships, research ...

LangChain, LlamaIndex, Semantic Kernel, CrewAI, or similar frameworks * Develop and test prompt ... Relevant internships, research projects, capstone projects, graduate assistantships, or co-op ...

LangChain, LlamaIndex, Semantic Kernel, CrewAI, or similar frameworks * Develop and test prompt ... Relevant internships, research projects, capstone projects, graduate assistantships, or co-op ...

Experience developing software in Python through coursework, internships, personal projects, or ... LangGraph, LangChain, Agno, Semantic Kernel, or similar agent frameworks * FastAPI, Pydantic, HTTPX ...

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Internship Langchain Developer information

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How much do internship langchain developer jobs pay per hour?

As of Sep 6, 2026, the average hourly pay for internship langchain developer in the United States is $22.89, according to ZipRecruiter salary data. Most workers in this role earn between $18.51 and $24.28 per hour, depending on experience, location, and employer.

What is an internship Langchain developer?

Internship Langchain Developers are students or early-career professionals who work in a temporary, learning-focused role, specifically developing applications using LangChain, a framework for building applications powered by language models. These interns help design, code, and test solutions that integrate large language models with external data sources and tools. The role provides practical experience in AI, natural language processing, and software development while working on real-world projects. Interns often collaborate with experienced engineers and receive mentorship to develop their technical and problem-solving skills.

What are the key skills and qualifications needed to thrive as an internship Langchain developer?

To thrive as an Internship Langchain Developer, you need a solid understanding of Python programming, basic knowledge of natural language processing (NLP), and a familiarity with machine learning concepts. Experience with tools such as LangChain, OpenAI APIs, and version control systems like Git is typically required. Strong problem-solving skills, eagerness to learn, and effective communication set standout candidates apart. These skills and qualities are crucial for building effective language-based applications, collaborating with teams, and adapting to a fast-evolving AI landscape.

What kinds of projects can an internship Langchain developer expect to work on, and how do these projects contribute to skill development?

As an Internship Langchain Developer, you can expect to work on projects involving the integration of large language models (LLMs) with various data sources and APIs, such as building chatbots, automating document analysis, or developing knowledge retrieval pipelines. These projects are usually collaborative, requiring you to work closely with senior developers, data scientists, and sometimes product managers. This hands-on experience helps you develop practical skills in Python, prompt engineering, and leveraging frameworks like Langchain, while also improving your problem-solving abilities in real-world scenarios. Additionally, you’ll learn best practices for deploying and maintaining AI-powered applications, which can be valuable for pursuing advanced roles in AI development.

What is the difference between Internship Langchain Developer vs Junior AI Developer?

AspectInternship Langchain DeveloperJunior AI Developer
Required CredentialsEnrolled in or recent graduate of CS, AI, or related fieldBachelor's degree in CS, AI, or related field
Work EnvironmentInternship setting, mentorship, project-basedEntry-level position, collaborative team environment
Employer & Industry UsageTech companies, startups focusing on NLP and AITech firms, AI startups, research labs
Common Search & ComparisonYesYes

The main difference between an Internship Langchain Developer and a Junior AI Developer lies in experience level and employment status. Internships are typically temporary, mentorship-focused roles for students or recent graduates, while Junior AI Developers are entry-level full-time employees. Both roles involve working with AI and NLP technologies, but internships often emphasize learning and skill development, whereas junior roles focus on contributing to ongoing projects.

More about Internship Langchain Developer jobs

What cities are hiring for Internship Langchain Developer jobs?

Cities with the most Internship 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 states have the most Internship Langchain Developer jobs?

States with the most job openings for Internship Langchain Developer jobs include:

Infographic showing various Internship Langchain Developer job openings in the United States as of August 2026, with employment types broken down into 12% Internship, 58% Full Time, 27% Part Time, 1% Temporary, and 2% Contract. Highlights an 85% Physical, 2% Hybrid, and 13% Remote job distribution, with an average salary of $47,621 per year, or $22.9 per hour.

AI Agents Developer - Interns ( Part time )

CBC

Reston, VA • On-site

$20 - $26.25/hr

Other

Posted 3 days ago

New


Job description

🚀 Job Title: AI Agents Developer I Interns Only.

📍 Location: Reston (Onsite/Hybrid)


About the Role:

We are looking for a highly skilled AI Agents Developer Interns to design, develop, and deploy intelligent agent-based systems that automate complex workflows and enhance business operations. You will work at the intersection of AI, automation, and software engineering to build scalable and efficient AI-driven solutions.


Key Responsibilities:

  • Design and develop AI agents using LLMs and agent frameworks
  • Build autonomous workflows integrating APIs, databases, and external tools
  • Develop and optimize prompt engineering strategies
  • Work with vector databases and retrieval-augmented generation (RAG) systems
  • Collaborate with cross-functional teams to deploy AI solutions into production
  • Monitor, evaluate, and improve AI agent performance
  • Ensure scalability, security, and reliability of AI systems


Required Qualifications:

  • Purusinging Bachelor’s or Master’s degree in Computer Science, AI, or related field
  • Hands-on experience with LLMs (OpenAI, Anthropic, etc.)
  • Experience with agent frameworks (LangChain, AutoGen, CrewAI, etc.)
  • Strong programming skills in Python
  • Experience with REST APIs, microservices, and cloud platforms (AWS/Azure/GCP)
  • Familiarity with vector databases (Pinecone, FAISS, Weaviate, etc.)
  • Strong problem-solving and analytical skills

Preferred Qualifications:

  • Experience deploying AI solutions in production environments
  • Knowledge of NLP, ML pipelines, and model fine-tuning
  • Experience with Docker, Kubernetes, or CI/CD pipelines
  • Familiarity with data engineering workflows