Senior Python Engineer
$123K - $166K/yr
Our mission is to increase developer adoption, satisfaction and retention by providing a reliable ... Enjoy collaborating with teammates, and mentoring junior engineers and interns * Are self-motivated ...
Senior Python Engineer
$123K - $166K/yr
Our mission is to increase developer adoption, satisfaction and retention by providing a reliable ... Enjoy collaborating with teammates, and mentoring junior engineers and interns * Are self-motivated ...
Internship Langchain Developer information
See Rancho Cucamonga, CA salary details
$11.79 - $14.38
3% of jobs
$14.38 - $16.97
14% of jobs
$18.35 is the 25th percentile. Wages below this are outliers.
$16.97 - $19.56
16% of jobs
The median wage is $20.86 / hr.
$19.56 - $22.15
35% of jobs
$23.80 is the 75th percentile. Wages above this are outliers.
$22.15 - $24.74
11% of jobs
$24.74 - $27.33
9% of jobs
$27.33 - $29.93
4% of jobs
$29.93 - $32.52
0% of jobs
$32.52 - $35.11
4% of jobs
$35.11 - $37.70
0% of jobs
$37.70 - $40.29
3% of jobs
$11
$23
$40
How much do internship langchain developer jobs pay per hour?
As of Aug 27, 2026, the average hourly pay for internship langchain developer in Rancho Cucamonga, CA is $23.40, according to ZipRecruiter salary data. Most workers in this role earn between $18.89 and $24.81 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?
| Aspect | Internship Langchain Developer | Junior AI Developer |
|---|---|---|
| Required Credentials | Enrolled in or recent graduate of CS, AI, or related field | Bachelor's degree in CS, AI, or related field |
| Work Environment | Internship setting, mentorship, project-based | Entry-level position, collaborative team environment |
| Employer & Industry Usage | Tech companies, startups focusing on NLP and AI | Tech firms, AI startups, research labs |
| Common Search & Comparison | Yes | Yes |
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 cities near Rancho Cucamonga, CA are hiring for Internship Langchain Developer jobs?
Cities near Rancho Cucamonga, CA with the most Internship Langchain Developer job openings:
Job description
Our Database Experience (DBX) Team
A great MongoDB experience starts with great tools.
The Database Experience team builds the libraries and tools that developers use day-to-day working with MongoDB. Our mission is to increase developer adoption, satisfaction and retention by providing a reliable, enjoyable interface for developers and other end-users.
Our senior engineers are typically specialists in a particular programming language, but are capable of contributing to projects in other languages as well.
For this role, we're looking for someone who will enjoy designing, writing, and supporting open source libraries for the Python ecosystem developers that use MongoDB. This is an opportunity to make a major impact at MongoDB as Python is one of the most popular runtimes for MongoDB users, and our driver has over 3 million daily pypi downloads.
You might be right for this role if you...- Have substantial experience writing high-quality software in Python
- Have extensive knowledge in Python tools and frameworks, scientific python and web development frameworks
- Have practical experience with AI/ML frameworks and technologies in Python, including large language models and agentic tools are a plus
- Have an interest in learning and staying up-to-date with Python ecosystem trends and best practices and incorporating them into your work
- Can make pragmatic design decisions, balancing tradeoffs such as usability, maintainability and delivery time
- Want to, or already do, participate in open source software development and communities, both online via e.g. GitHub and optionally through conferences and speaking engagements
- Communicate well, internally and externally, both verbally and in writing
- Enjoy collaborating with teammates, and mentoring junior engineers and interns
- Are self-motivated, organized, and have strong time management skills
- Developing and supporting the MongoDB Python drivers and subsidiary libraries (PyMongo, Django MongoDB Backend, PyMongoArrow, LangChain MongoDB) and related software, collaborating with peers in our distributed world-wide engineering team
- Writing and maintaining open source specifications defining common behavior and APIs shared across all of our drivers
- Investigating bugs and support requests from commercial customers, open source users, and internal users for the libraries our team maintains
- Working with our Product and Server teams on designs and specifications for new user-facing MongoDB features
- Within one month, you will understand the high-level architecture of the drivers and how MongoDB works, and will have completed a few small bug fixes and/or feature tickets
- Within three months, you will be contributing effectively day-to-day, fixing bugs, implementing features, investigating and responding to open source user and customer issues, and reviewing your peers' code
- Within six months, you'll have implemented major, planned new features, contributed to our common driver specifications, shipped a major feature in an open source library, and will be collaborating with the Product team to help craft our roadmap
- Within twelve months, you'll have significantly improved the quality, performance and maintainability of our codebase, and will be taking the lead in designing and specifying major new features
MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the data platform for the AI era, enabling builders to create, transform, and disrupt industries with software. MongoDB's unified data platform, the most widely available, globally distributed data platform on the market, helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud data platform and is available across AWS, Google Cloud, and Microsoft Azure.
With offices worldwide and over 67,000 customers, including 75% of the Fortune 100 and AI-native startups, relying on MongoDB for their most important applications, we're powering the next era of software.
Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It's what makes us MongoDB.
To drive the personal growth and business impact of our employees, we're committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees' wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it's like to work at MongoDB, and help us make an impact on the world!
MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.
MongoDB is an equal opportunities employer.
Req ID: 1273396098
About MongoDB
Sourced by ZipRecruiter
Industry
Software development
Company size
1,001 - 5,000 Employees
Headquarters location
New York, NY, US
Year founded
2007