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Internship Langchain Developer Jobs (NOW HIRING)

SK Life Science, Inc.

Intern - AI Engineering

Paramus, NJ

$17 - $22/hr

This internship offers hands-on experience in applying artificial intelligence to real-world R&D ... LangChain, AutoGen, BioNemo, etc.) Familiarity with coding tools (e.g., Codex, Claude Code, etc ...

SK Life Science

Intern - AI Engineering

Paramus, NJ · On-site

$17 - $22/hr

This internship offers hands-on experience in applying artificial intelligence to real-world R&D ... Experience with LLMs, agent frameworks, or workflow orchestration tools (e.g., LangChain, AutoGen ...

XIFIN

Associate Machine Learning Engineer

San Diego, CA · On-site +1

$70K - $100K/yr

Familiarity with ML frameworks or libraries (e.g., PyTorch, TensorFlow, scikit-learn, LangChain, or similar) * Internship or research experience in data engineering, machine learning, or software ...

Hexion, Inc.

Agentic AI Engineer

OH · On-site +1

$81.30K - $111.30K/yr

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

Arcade

Product Engineer, AI

San Francisco, CA · On-site

... with agent tooling (LangChain or equivalent custom stacks) • Technically fluent builder ... internships, startups, or open-source contributions all count • Familiarity with modern AI ...

Hexion Careers

Agentic AI Engineer

OH · Remote

$99.80K - $136.60K/yr

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

Hexion, Inc.

Agentic AI Engineer

OH · On-site

$81.30K - $111.30K/yr

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

Advantest

AI Intern

San Jose, CA · On-site

... engineering student to explore cutting-edge applications of machine learning and generative AI ... This internship provides hands-on experience working with emerging AI systems and integrating them ...

Amazon

Sr. Software Dev Engineer, Applied AI

Bellevue, WA · On-site

$138.30K - $182.30K/yr

BASIC QUALIFICATIONS * 6+ years of non-internship professional software development experience * 6+ ... LangChain, LangGraph, Amazon Bedrock, SageMaker, vector databases, RAG architectures ...

Sk Life Science, Inc.

Intern - AI Engineering

Paramus, NJ · On-site

$17 - $22/hr

This internship offers hands-on experience in applying artificial intelligence to real-world R&D ... e.g., LangChain, AutoGen, BioNemo, etc.) • Familiarity with coding tools (e.g., Codex, Claude ...

SK Life Science, Inc.

Intern - AI Engineering

Paramus, NJ

$17 - $22/hr

This internship offers hands-on experience in applying artificial intelligence to real-world R&D ... e.g., LangChain, AutoGen, BioNemo, etc.) • Familiarity with coding tools (e.g., Codex, Claude ...

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How much do internship langchain developer jobs pay per hour?

As of May 28, 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 are the key skills and qualifications needed to thrive as an Internship Langchain Developer, and why are they important?

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 are Internship Langchain Developers?

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 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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Internship Langchain Developer jobs near you
Infographic showing various Internship Langchain Developer job openings in the United States as of May 2026, with employment types broken down into 50% Internship, and 50% Part Time. Highlights an 50% In-person, and 50% Remote job distribution, with an average salary of $47,621 per year, or $22.9 per hour.
Intern - AI Engineering

Intern - AI Engineering

SK Life Science, Inc.

Paramus, NJ

$17 - $22/hr

Other

Posted 11 days ago

Job description

Overview

The AI Engineer Intern will support the design and implementation of AI-driven solutions for pharmaceutical and biotech applications, with a focus on drug discovery. This internship offers hands-on experience in applying artificial intelligence to real-world R&D challenges while working alongside experienced scientists and engineers. The intern will gain exposure to the drug discovery process and contribute to projects that explore how AI can improve efficiency and innovation.

Responsibilities

Architect and manage agent-based systems that collaborate to execute drug discovery workflows Coordinate multiple AI agents (e.g., PI, modeling, simulation, optimization, critic) to enable automated discovery Assist in identifying opportunities within drug discovery where AI can enhance processes and outcomes Support the development and implementation of machine learning and deep learning models for research applications Reproduce and evaluate existing AI models and research papers to understand their applicability Help adapt and optimize AI solutions for new use cases within R&D workflows Contribute to building scalable and practical AI tools under guidance from senior team members Stay current with emerging AI trends and technologies and share insights with the team Collaborate with cross-functional teams to understand scientific problems and translate them into AI-driven approaches

Qualifications

Currently pursuing a Bachelor's, Master's or PhD degree in Computer Science, Artificial Intelligence, Data Science, Bioinformatics, or a related field Experience with LLMs, agent frameworks, or workflow orchestration tools (e.g., LangChain, AutoGen, BioNemo, etc.) Familiarity with coding tools (e.g., Codex, Claude Code, etc.) Interest in pharmaceutical or biotech applications, particularly drug discovery

Experience with academic or personal AI/ML projects Exposure to analyzing or reproducing research papers Coursework or projects related to life sciences, bi Strong analytical and problem-solving skills Willingness to learn and adapt in a fast-paced, innovative environment Effective communication and teamwork skills Ability to translate technical concepts into practical applications Bioinformatics, or computational biology Prior experience in drug discovery or AI research is a plus but not required Professional-level English communication skills are preferred

Employment Type: OTHER

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