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Internship Langchain Developer Jobs in California

... context engineering strategies and Agent workflows (e.g., using LangChain, RAG frameworks ... Flexible remote/on-site internship (3 days/week required, 4+ days/week preferred). EEO OpusClip is ...

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Internship Langchain Developer information

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.

What are the most commonly searched types of Langchain Developer jobs in California? The most popular types of Langchain Developer jobs in California are:
What job categories do people searching Internship Langchain Developer jobs in California look for? The top searched job categories for Internship Langchain Developer jobs in California are:
What cities in California are hiring for Internship Langchain Developer jobs? Cities in California with the most Internship Langchain Developer job openings:
Infographic showing various Internship Langchain Developer job openings in California as of August 2026, with employment types broken down into 10% Internship, 65% Full Time, 21% Part Time, 2% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution.

Research Engineer I II/III (AI / Machine Learning)

Gladstone Institutes

San Francisco, CA • On-site

$78K - $114K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 16 days ago


Job description

Category:
Science
Lab/Area:
Jain Lab
Description:
Who we are
At Gladstone Institutes, every role contributes to discoveries that have the potential to transform
lives.
Gladstone is a world-renowned independent, nonprofit biomedical research organization dedicated to solving some of the most challenging diseases affecting humanity. Our scientists are leaders in neuroscience, cardiovascular disease, immunology, stem cell biology, and emerging areas of biomedical innovation. Located in San Francisco's vibrant Mission Bay research hub, Gladstone brings together exceptional researchers, clinicians, and professionals who share a common goal: improving human health through science.
With approximately 600 employees, we offer the agility of an independent institute combined with the impact of a globally recognized research organization. We foster a collaborative, inclusive culture where employees are encouraged to grow professionally while contributing to work that truly matters.
About the Role
The Jain Lab develops new approaches to understand how oxygen, metabolism, and vitamins regulate physiology and disease. We combine CRISPR screens, multi-omics, imaging, computational biology, and animal models to answer fundamental biological questions and develop new therapies.
We are seeking a highly motivated AI Research Engineer to help build an AI-native research laboratory. You will develop AI systems that access scientific literature, laboratory datasets, electronic lab notebooks, Slack discussions, manuscripts, protocols, and experimental results in order to generate hypotheses, critique ideas, design experiments, and accelerate discovery.
This is a unique opportunity to work at the intersection of frontier AI and experimental biology, helping define how AI transforms biomedical research.
What You Will Do
  • Design and build systems for ingesting literature, datasets, electronic lab notebooks, Slack discussions, meeting transcripts, code repositories, protocols, etc. into a "lab knowledge repository" (data layer) optimized for search & retrieval of information by AI agents.
  • Develop agentic AI systems that reason across the lab knowledge repository, and use external tools to perform multi-step scientific workflows tailored to the lab's focus and ways of working.
  • Build always-on AI agents that proactively review new papers, meetings transcripts, etc. and make connections, suggest hypotheses & experiments, identify flaws or gaps, and help with interpretation.
  • Collaborate closely with experimental scientists to rapidly prototype and deploy AI tools.
  • Evaluate new & emerging AI tools for biomedical research and incorporate state-of-the-art methods into the lab.

What You Will Need
  • BS or MS in Computer Science, AI, Machine Learning, Computational Biology, Bioengineering, or a related quantitative discipline.
  • 0-2 years of research or industry experience (outstanding undergraduate applicants encouraged).
  • Strong Python programming skills.
  • Strong knowledge of best practices for AI-assisted coding with tools like Claude Code, Codex, OpenCode, etc.
  • Strong knowledge of agentic AI fundamentals such as MCP servers/tool calling loops, embeddings & vector databases, Skills & context engineering, and related technologies.
  • Experience building projects with LLMs and agentic AI frameworks such a Langchain/Langgraph, OpenAI/Gemini/Claude SDK, etc.
  • Experience with cloud infrastructure (GCP, AWS, Azure), Docker, Git, and modern software engineering practices.
  • Interest in biology and enthusiasm for learning molecular biology and biomedical research.
  • Excellent communication and collaboration skills.

What Is Preferred
  • Coursework or research experience in molecular biology, genetics, computational biology, or bioinformatics.
  • Experience with biological datasets (RNA-seq, CRISPR screens, imaging, proteomics, metabolomics).
  • Experience developing AI agents that interact with APIs, databases, or external tools.
  • GitHub, open-source contributions, or substantial personal AI projects.

Who Should Apply
We are looking for someone who loves building things, learns new technologies quickly, and is excited about applying frontier AI to scientific discovery. You do not need extensive industry experience, but you should have demonstrated initiative through research projects, internships, open-source contributions, or personal projects involving LLMs or agentic AI systems. You will work closely with researchers across Gladstone, Arc Institute, UCSF, and collaborating laboratories.
Salary Range:
$78,000-$114,000
Gladstone Perks & Benefits
  • People-work with talented, committed, and supportive teammates within an organization that values each member of its community.
  • A meaningful place to grow and learn-whether it's your professional skills or scientific knowledge, we have the resources and environment to advance either so you can better support Gladstone's mission to drive a new era of discovery in disease-oriented science and to mentor tomorrow's leaders in an inspiring and excellent environment.
  • Healthy work/life balance-you are highly engaged and productive at work because you can have time to recharge and enjoy a vibrant life outside of work.
  • Compensation-competitive salary. Title and salary will be commensurate with education and experience.
  • Excellent benefits-generous medical, dental, vision, retirement plan, paid vacation, commuter benefits, access to free shuttle transportation.

Gladstone is committed to providing equal employment opportunities to all employees and applicants for employment without regard to race, color, sex, religion, national origin, ancestry, age, marital status, medical condition, physical or mental disability, veteran status, sexual orientation, or any other non-job related characteristic. We make all employment decisions so as to further this principle of equal employment.