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Internship Langchain Developer Jobs (NOW HIRING)

Data Scientist- Associate

Dallas, TX · On-site

$58K - $58K/yr

... internship/academic projects in data science, machine learning, or software engineering • Minimum ... LangChain is preferred • Exposure to cloud platforms (preferably Azure) and data platforms like ...

LangChain / LangGraph * NLP or Computer Vision * AWS / Azure / Google Cloud Platform * Docker ... internships, academic projects, research, GitHub repositories, or professional experience ...

LangChain / LangGraph * Hugging Face * AWS / Azure / Google Cloud Platform * Docker * MLflow ... AI/ML internships, research, or university projects * GitHub/portfolio demonstrating practical AI ...

Software Engineer

San Jose, CA · On-site

$60 - $70/hr

  • Medical

  • Retirement

  • PTO

... internships, co-ops, and substantial personal/open-source projects count * Solid Python ... Exposure to frameworks like LangGraph, LangChain, or similar is a strong plus * Some hands-on ...

... internships, or substantive personal projects). * Strong proficiency in Python and comfort with ... LangChain, LangGraph, LlamaIndex, Semantic Kernel, AutoGen, or CrewAI. * Practical experience with ...

... internships, or substantive personal projects). * Strong proficiency in Python and comfort with ... LangChain, LangGraph, LlamaIndex, Semantic Kernel, AutoGen, or CrewAI. * Practical experience with ...

... internships, or substantive personal projects). * Strong proficiency in Python and comfort with ... LangChain, LangGraph, LlamaIndex, Semantic Kernel, AutoGen, or CrewAI. * Practical experience with ...

All Nelnet interns receive one-on-one mentorship, competitive pay, casual dress, flexible schedule ... LangChain, LangGraph, Claude API, OpenAI/Claude SDK, FastAPI, or similar frameworks. Familiarity ...

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Internship Langchain Developer information

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How much do internship langchain developer jobs pay per hour?

As of Aug 17, 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.

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Infographic showing various Internship Langchain Developer job openings in the United States as of August 2026, with employment types broken down into 12% Internship, 63% Full Time, 22% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $47,621 per year, or $22.9 per hour.

Data Scientist- Associate

KPMG US

Dallas, TX • On-site

$58K - $58K/yr

Full-time

Posted 10 days ago


Job description

Job Summary:
KPMG is a renowned company providing audit, tax, and advisory services across important industries. They are currently seeking a Data Scientist to join their Audit Technology Alliance organization, focusing on developing generative AI solutions and collaborating with teams to enhance technology applications.
Responsibilities:
• Develop and implement core components of generative AI solutions, including RAG pipelines and context engineering features, within our established architecture; driving quality into prompt engineering and optimization for business use cases
• Support senior team members in the implementation of RAG pipelines and context engineering systems by building and testing specific modules
• Collaborate with AI engineers and other data scientists to integrate model outputs into the broader microservice architecture
• Focus on learning and applying our technology stack, including LangChain/LangGraph, Azure AI Search, and our AKS-based infrastructure
• Drive product advancement by diligently executing experiments, documenting results, and contributing to our culture of continuous improvement
• Participate actively in agile ceremonies and contribute to the team's collective knowledge of generative AI, audit methodologies, and best practices
• Act with integrity, professionalism, and personal responsibility to uphold KPMG's respectful and courteous work environment
Qualifications:
Required:
• Minimum one year of experience or strong internship/academic projects in data science, machine learning, or software engineering
• Minimum of a Bachelor's degree is required
• Foundational knowledge of machine learning concepts and Python for data analysis; familiarity with LLMs and frameworks like LangChain is preferred
• Exposure to cloud platforms (preferably Azure) and data platforms like Databricks or Microsoft Fabric
• Familiarity with the principles of the software development lifecycle (SDLC) and version control tools like ADO and Github
• Strong analytical and problem-solving skills, with an eagerness to learn and a collaborative, team-oriented mindset (200TEC)
• Must be authorized to work in the U.S. without the need for employment-based visa sponsorship now or in the future. KPMG LLP will not sponsor applicants for U.S. work visa status for this opportunity (no sponsorship is available for H-1B, L-1, TN, O-1, E-3, H-1B1, F-1, J-1, OPT, CPT or any other employment-based visa)
Preferred:
• Master's degree from an accredited college or university in Computer Science, Data Science, Statistics, or a related quantitative discipline is preferred
• Familiarity with LLMs and frameworks like LangChain is preferred
Company:
KPMG is one of the world’s leading professional services firms and the fastest growing Big Four accounting firm in the United States. Founded in 2010, the company is headquartered in New York, USA, with a team of 10001+ employees. The company is currently Late Stage.