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Internship Langchain Jobs (NOW HIRING)

Plano, Texas, USA Internship Duration: 6-12 months (12 months preferred) Company: Black Box ... Contribute to AI orchestration using LangChain and workflow automation using n8n. Full-Stack ...

Plano, Texas, USA Internship Duration: 6-12 months (12 months preferred) Company: Black Box ... Contribute to AI orchestration using LangChain and workflow automation using n8n. Full-Stack ...

Data Scientist- Associate

Dallas, TX · On-site

$58K - $58K/yr

Minimum one year of experience or strong internship/academic projects in data science, machine ... LangChain is preferred * Exposure to cloud platforms (preferably Azure) and data platforms like ...

... or internships * Interest, coursework, or experience in Computer Science, Information Technology ... Experience with or exposure to libraries and frameworks such as LangChain, Semantic Kernel, Azure ...

... LangChain, LangGraph, and/or related design patterns. * Assist in developing, optimizing, and ... Strong foundation in Python programming, gained through coursework, projects, internships, and/or ...

... or internships * Interest, coursework, or experience in Computer Science, Information Technology ... Experience with or exposure to libraries and frameworks such as LangChain, Semantic Kernel, Azure ...

You will also build and lead a high-impact team-including AI practitioners and interns-focused on ... Hands-on experience with AI tools and frameworks (e.g., OpenAI APIs, LangChain, RPA tools, workflow ...

... Langchain, etc. Your work should consistently be of high quality (e.g., secure, testable ... BASIC QUALIFICATIONS - 3+ years of non-internship professional software development experience - 2+ ...

Software Engineer I - AI

Oak Brook, IL · On-site

$53K - $100K/yr

Internship, coursework, or personal projects involving: Generative AI, Chatbots or assistants, AI ... OpenAI APIs, Claude, HuggingFace, LangChain, or similar frameworks (nice to have) Knowledge, Skills ...

Internship, academic project, research, or personal project experience in software development ... AI/ML concepts or exposure to tools such as OpenAI APIs, LangChain, vector databases, or LLM ...

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Internship Langchain information

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How much do internship langchain jobs pay per hour?

As of Aug 10, 2026, the average hourly pay for internship langchain in the United States is $15.54, according to ZipRecruiter salary data. Most workers in this role earn between $12.50 and $17.55 per hour, depending on experience, location, and employer.

What is the difference between Internship Langchain vs Data Science Intern?

AspectInternship LangchainData Science Intern
Required SkillsPython, NLP, API integration, AI frameworksPython, statistics, data analysis, machine learning
Work EnvironmentAI/ML startups, tech companies, software development teamsData analysis teams, research labs, tech companies
CertificationsBasic AI/ML certifications, coding skillsData analysis, machine learning certifications
Industry UsageAI-powered applications, chatbot development, NLP projectsData modeling, predictive analytics, research projects

Internship Langchain focuses on AI and NLP development, requiring skills in programming and API integration, often in tech startups. Data Science Internships emphasize data analysis, machine learning, and statistical skills, typically in research or analytics teams. Both roles provide valuable industry experience but differ in technical focus and work environment.

What types of projects and responsibilities can I expect during an internship with Langchain?

As an intern at Langchain, you can expect to work on real-world projects that involve developing, testing, or integrating language models with applications. Typical responsibilities may include assisting with codebase improvements, contributing to open-source projects, and collaborating with engineers or product teams to prototype features. Interns often participate in regular team meetings, code reviews, and may present their work to peers, allowing for both learning and networking opportunities. The dynamic environment encourages interns to ask questions, seek mentorship, and develop practical skills in AI and software development.

What is an internship Langchain?

An Internship Langchain typically refers to an internship position focused on working with LangChain, a popular open-source framework for developing applications powered by large language models (LLMs). Interns in this role may help build, test, and deploy AI-driven applications using LangChain’s tools and libraries. Responsibilities often include coding, integrating APIs, and collaborating on projects that involve natural language processing and machine learning. This internship is ideal for students or early-career professionals interested in artificial intelligence, software engineering, and cutting-edge NLP technologies.

What are the key skills and qualifications needed to thrive as an internship Langchain, and why are they important?

To thrive in a Langchain internship, a strong foundation in Python programming, data structures, and basic understanding of machine learning concepts is essential. Familiarity with Langchain libraries, APIs, and tools such as OpenAI, Hugging Face, and version control systems like Git is typically required. Effective problem-solving, curiosity, and strong communication skills help interns collaborate and learn quickly in dynamic environments. These capabilities are crucial for building, debugging, and optimizing AI-driven applications using Langchain frameworks.
More about Internship Langchain jobs
What cities are hiring for Internship Langchain jobs? Cities with the most Internship Langchain job openings:
What are the most commonly searched types of Langchain jobs? The most popular types of Langchain jobs are:
What states have the most Internship Langchain jobs? States with the most job openings for Internship Langchain jobs include:
Infographic showing various Internship Langchain job openings in the United States as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $32,333 per year, or $15.5 per hour.

Software Engineer (Agent Platform) - New Grad - 2026-2027

Netic

San Francisco, CA • On-site

Full-time

Posted 25 days ago


Job description

Netic is the AI revenue engine for essential services who are the backbone of the American economy. With $43M in funding from Founders Fund, Greylock, Hanabi, and Dylan Field who led our Series B, we helped our customers book hundreds of thousands of jobs across services industries in North America. There are now companies operating entirely AI-first on Netic.
You'll join our team with relentless builders from Scale, Databricks, HRT, Meta, MIT, Stanford, and Harvard in bringing frontier AI to the physical economy, where the problems are hard, the data is complex, and the impact is immediate and tangible.
Netic's Software Engineers working on the Agent Platform team build the features that let our AI agents build, test, and improve themselves. This isn't a role writing one-off prompts. You'll work on the orchestration layer, execution harnesses, and the "Agent Manager" system that allows agents to author, evaluate, and optimize other agents autonomously. This is one of the hardest and most leveraged problems in applied AI today, and you'll have a dedicated mentor guiding you end-to-end.
We need to hire multiple new graduate engineers on our Agent Platform team that are available to start between winter of 2026 and summer of 2027. If you can start earlier - even better.
What You'll Do:
  • Build the orchestration layer: Design and ship the systems that route, sequence, and supervise multi-agent workflows across customer environments in real time.
  • Extend agent harnesses: Build the tooling, sandboxes, and eval loops agents use to test and validate their own outputs before changes reach production.
  • Work on Agent Manager: Contribute to the internal system where agents propose, test, and roll out improvements to other agents. This including guardrails, rollback paths, and human-in-the-loop checkpoints.
  • Ship agentic products: Design, code, and ship full-stack features for Netic's agent platform, from data models to APIs to front-end tooling.
  • Co-create with customers: Work with real customer workflows to surface where automated agent-improvement can and can't be trusted, and turn those edge cases into platform safeguards.

What You'll Learn / Bring:
  • Systems fundamentals: Comfort with Python (asyncio, FastAPI) and TypeScript (Node, React); CS fundamentals in distributed systems.
  • Agent tooling exposure: Coursework, internship, or personal-project experience with LLM APIs, eval frameworks, RAG, or agent frameworks (LangChain, MCP, or similar) - production experience not required, curiosity is.
  • Orchestration mindset: Interest in how multi-step, multi-agent systems coordinate state, tool calls, and failure recovery - you don't need to have built this before, but you should be excited to.
  • Founder-level ownership: Track record of shipping full projects (school, internship, or personal) end-to-end, not just isolated assignments.
  • Comfortable with ambiguity: You'll be working on bleeding edge areas within agentic AI, but that means you'll be tackling problems that don't have established best practices yet. There isn't much of a playbook for agents building agents. You should be excited to help define them and write it.

What brings us together is our commitment to:
  • Live to build
  • Run through walls and win
  • Obsess over customers in each line of code
  • Lose sleep over the "almost perfect"
  • Show internal locus of control
  • Prioritize finesse: refinement of first principles thinking, execution, and craftsmanship

We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or any other legally protected status.