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Internship Langchain Developer Jobs in Utah (NOW HIRING)

Junior AI Engineer

Salt Lake City, UT · On-site

  • Retirement

  • PTO

Develop and maintain AI workflows using LangChain, LangGraph, and other modern agentic frameworks ... Up to 2 years of professional, internship, academic, or project-based experience in software ...

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 Utah?

The most popular types of Langchain Developer jobs in Utah are:

What are popular job titles related to Internship Langchain Developer jobs in Utah?

For Internship Langchain Developer jobs in Utah, the most frequently searched job titles are:

What job categories do people searching Internship Langchain Developer jobs in Utah look for?

The top searched job categories for Internship Langchain Developer jobs in Utah are:

What cities in Utah are hiring for Internship Langchain Developer jobs?

Cities in Utah with the most Internship Langchain Developer job openings:

Junior AI Engineer

CGI Inc.

Salt Lake City, UT • On-site

Full-time

Retirement, PTO

This job post has expired today. Applications are no longer accepted.


CGI rating

7.1

Company rating: 7.1 out of 10

Based on 19 frontline employees who took The Breakroom Quiz

149th of 224 rated it services


Job description

Junior AI Engineer
Category: Software Development/ Engineering
Main location: United States, Utah, Salt Lake City
Position ID:J0826-0327
Employment Type: Full Time
Position Description:
Launch Your AI Career with CGI
Are you passionate about Artificial Intelligence and excited to build AI solutions that solve real-world business challenges? CGI is seeking a Junior AI Engineer to join our growing team in Salt Lake City, UT, where you'll help design, develop, and deploy next-generation AI-powered applications for enterprise clients.
This is an exciting opportunity to work alongside experienced AI engineers, software developers, and architects while gaining hands-on experience with **Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI agents, and cloud-native technologies**.
If you're curious, eager to learn, enjoy solving complex problems, and want to make an impact early in your career, we'd love to meet you.
At CGI, you'll do more than write code-you'll help organizations transform how they work with cutting-edge AI technologies while building a rewarding career in technology consulting.
Location: Onsite at the client location in the Salt Lake City, UT area
Your future duties and responsibilities:
How you'll make an impact
As a Junior AI Engineer, you'll collaborate with experienced engineers, architects, and business teams to design, build, and deploy AI-powered solutions that address real business needs.
Your responsibilities will include:
* Design and develop AI-powered product features using Generative AI, machine learning, and Large Language Models (LLMs)
* Build intelligent applications using Retrieval-Augmented Generation (RAG), embeddings, and vector database technologies
* Develop conversational AI experiences, AI agents, and agent-based workflows
* Build scalable REST APIs and FastAPI microservices to integrate and serve AI capabilities
* Develop and maintain AI workflows using LangChain, LangGraph, and other modern agentic frameworks
* Work with Model Context Protocol (MCP) servers and related tools to integrate AI applications with enterprise systems and data sources
* Containerize applications using Docker and support deployment in Kubernetes environments
* Contribute to cloud-native AI solutions designed for security, scalability, reliability, and maintainability
* Collaborate with product managers, software engineers, architects, and business stakeholders to deliver innovative AI capabilities
* Participate in code reviews, testing, troubleshooting, documentation, and continuous improvement initiatives
* Stay current with the rapidly evolving AI ecosystem and help evaluate emerging models, frameworks, tools, and development practices
Required qualifications to be successful in this role:
What you'll bring
* Bachelor's degree in Computer Science, Software Engineering, Artificial Intelligence, Data Science, or a related technical field, or equivalent practical experience
* Up to 2 years of professional, internship, academic, or project-based experience in software engineering, AI, or machine learning development
* Strong programming skills in Python and experience working with SQL
* Understanding of machine learning fundamentals and Generative AI concepts
* Hands-on experience working with Large Language Models (LLMs), including prompt engineering techniques
* Experience building or working with Retrieval-Augmented Generation (RAG) architectures and vector databases
* Familiarity with LangChain, LangGraph, or similar AI orchestration frameworks
* Familiarity with AI agents, agentic workflows, and common agent design patterns
* Experience working with or developing integrations using Model Context Protocol (MCP)
* Familiarity with AI configuration and instruction files, such as `AGENTS.md`, `SKILL.md`, or similar artifacts used to define AI system behavior and capabilities
* Understanding of REST APIs and microservices architecture
* Familiarity with Docker and modern CI/CD practices
* Strong analytical, problem-solving, collaboration, and communication skills
* Curiosity, adaptability, and enthusiasm for learning and applying emerging AI technologies
Preferred Qualifications
Experience with one or more of the following is a plus:
* MLOps tools, workflows, and deployment practices
* Kubernetes and container orchestration
* FastAPI or similar Python web frameworks
* Cloud platforms such as Microsoft Azure, AWS, or Google Cloud
* Serverless and event-driven architectures
* High-availability, scalability, and autoscaling concepts
* AI evaluation frameworks, model benchmarking, and quality measurement
* AI security, governance, and responsible AI practices
Why CGI?
At CGI, you'll have the opportunity to build practical AI solutions while learning from experienced technology professionals and working directly on meaningful client challenges. You'll gain exposure to modern AI architectures and enterprise-scale technologies while developing the technical, consulting, and collaboration skills needed to grow your career.
If you're ready to turn your interest in AI into real-world impact, we'd like to hear from you.
Other Information:
CGI is required by law in some jurisdictions to include a reasonable estimate of the compensation range for this role. The determination of this range includes various factors not limited to skill set, level, experience, relevant training, and licensure and certifications. To support the ability to reward for merit based performance, CGI typically does not hire individuals at or near the top of the range for their role. Compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range for this role in the U.S. is $70,800.00 $123,800.00.
CGI's benefits are offered to eligible professionals on their first day of employment to include:
. Competitive compensation
. Comprehensive insurance options
. Matching contributions through the 401(k) plan and the share purchase plan
. Paid time off for vacation, holidays, and sick time
. Paid parental leave
.Learning opportunities and tuition assistance
. Wellness and Well being programs
Skills:
  • Agentic RAG
  • Artificial Intelligence
  • Large Language Model (LLM)
  • Machine Learning
  • Python
  • SQL

What you can expect from us:
Together, as owners, let's turn meaningful insights into action.
Life at CGI is rooted in ownership, teamwork, respect and belonging. Here, you'll reach your full potential because...
You are invited to be an owner from day 1 as we work together to bring our Dream to life. That's why we call ourselves CGI Partners rather than employees. We benefit from our collective success and actively shape our company's strategy and direction.
Your work creates value. You'll develop innovative solutions and build relationships with teammates and clients while accessing global capabilities to scale your ideas, embrace new opportunities, and benefit from expansive industry and technology expertise.
You'll shape your career by joining a company built to grow and last. You'll be supported by leaders who care about your health and well-being and provide you with opportunities to deepen your skills and broaden your horizons.
Come join our team-one of the largest IT and business consulting services firms in the world.
Qualified applicants will receive consideration for employment without regard to their race, ethnicity, ancestry, color, sex, religion, creed, age, national origin, citizenship status, disability, pregnancy, medical condition, military and veteran status, marital status, sexual orientation or perceived sexual orientation, gender, gender identity, and gender expression, familial status or responsibilities, reproductive health decisions, political affiliation, genetic information, height, weight, or any other legally protected status or characteristics to the extent required by applicable federal, state, and/or local laws where we do business.
CGI provides reasonable accommodations to qualified individuals with disabilities. If you need an accommodation to apply for a job in the U.S., please email the CGI U.S. Employment Compliance mailbox at US_Employment_Compliance@cgi.com. You will need to reference the Position ID of the position in which you are interested. Your message will be routed to the appropriate recruiter who will assist you. Please note, this email address is only to be used for those individuals who need an accommodation to apply for a job. Emails for any other reason or those that do not include a Position ID will not be returned.
We make it easy to translate military experience and skills! Click here to be directed to our site that is dedicated to veterans and transitioning service members.
All CGI offers of employment in the U.S. are contingent upon the ability to successfully complete a background investigation. Background investigation components can vary dependent upon specific assignment and/or level of US government security clearance held. Dependent upon role and/or federal government security clearance requirements, and in accordance with applicable laws, some background investigations may include a credit check. CGI will consider for employment qualified applicants with arrests and conviction records in accordance with all local regulations and ordinances.
CGI will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with CGI's legal duty to furnish information.

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