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Integration Engineer Intern Jobs in Massachusetts

Our platform and applications integrate into core business processes so teams can develop, deliver ... As an AI Native Intern, you will be placed on one of our engineering or product teams tackling high ...

Our platform and applications integrate into core business processes so teams can develop, deliver ... As an AI Native Intern, you will be placed on one of our engineering or product teams tackling high ...

Our platform and applications integrate into core business processes so teams can develop, deliver ... As an AI Native Intern, you will be placed on one of our engineering or product teams tackling high ...

Summary The Engineering Intern provides an opportunity for students who are currently pursuing an ... System & component identification will be integrated in this process * Support Plant Engineering ...

New

2026 Summer Intern

Natick, MA ยท On-site

$17.25 - $22.50/hr

Engineering Intern - Summer 2026 Location: Natick, MA About Busek: Busek Co. Inc. is a pioneer in ... Support the assembly, integration, and testing of hardware in a laboratory environment. * Document ...

2026 Summer Intern

Natick, MA ยท On-site

$20 - $30/hr

Engineering Intern - Summer 2026 Location: Natick, MA About Busek: Busek Co. Inc. is a pioneer in ... Support the assembly, integration, and testing of hardware in a laboratory environment. * Document ...

Engineering Student internships support the research and development of new or existing microsystems and advanced materials (hardware, software, components, and materials/chemistry research and ...

Engineering Student internships support the research and development of new or existing microsystems and advanced materials (hardware, software, components, and materials/chemistry research and ...

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Integration Engineer Intern information

What is an integration engineer intern?

Integration Engineer Interns are students or recent graduates who assist in connecting different software systems, applications, or platforms within an organization. They work under the guidance of experienced integration engineers to help design, implement, and test integration solutions. Their responsibilities often include writing code, troubleshooting integration issues, and ensuring that different systems communicate effectively. This internship provides hands-on experience in software development, system architecture, and problem-solving in a collaborative environment.

What is the difference between Integration Engineer Intern vs Software Engineer Intern?

AspectIntegration Engineer InternSoftware Engineer Intern
Required CredentialsTypically pursuing a degree in engineering, computer science, or related fields; some internships may prefer knowledge of systems integrationUsually pursuing a degree in computer science, software engineering, or related fields; programming skills are essential
Work EnvironmentFocuses on integrating hardware and software systems, often in tech or manufacturing settingsPrimarily involved in developing and testing software applications in tech companies or startups
Employer & Industry UsageCommon in industries like telecommunications, manufacturing, and IT servicesWidespread across software development, tech startups, and IT firms

Integration Engineer Interns typically work on system integration projects, combining hardware and software components, while Software Engineer Interns focus on developing software applications. Both roles require technical knowledge but differ in their focus areas and industry applications.

What are the key skills and qualifications needed to thrive as an integration engineer intern, and why are they important?

To thrive as an Integration Engineer Intern, you need a foundational understanding of software development, APIs, and data exchange protocols, often supported by coursework or experience in computer science or engineering. Familiarity with integration tools such as MuleSoft, Dell Boomi, or similar platforms, along with basic knowledge of programming languages like Java or Python, is typically required. Strong problem-solving abilities, attention to detail, and effective communication skills help you collaborate with teams and troubleshoot integration issues. These skills are crucial for ensuring seamless system connections and supporting successful project outcomes in a technical environment.

What typical projects or tasks can an integration engineer intern expect to work on during their internship?

As an Integration Engineer Intern, you can expect to work on projects that involve connecting different software systems, tools, or databases to streamline processes within the company. Tasks may include writing scripts or using APIs to automate data flows, assisting with troubleshooting integration issues, and collaborating with development and QA teams to ensure seamless system interoperability. You'll gain hands-on experience with integration platforms and learn industry best practices, all while contributing to real-world solutions. Interns often have the opportunity to present their work and receive feedback, which is valuable for professional growth.
What are the most commonly searched types of Integration Engineer jobs in Massachusetts? The most popular types of Integration Engineer jobs in Massachusetts are:
What cities in Massachusetts are hiring for Integration Engineer Intern jobs? Cities in Massachusetts with the most Integration Engineer Intern job openings:
Infographic showing various Integration Engineer Intern job openings in Massachusetts as of July 2026, with employment types broken down into 95% Full Time, 2% Part Time, and 3% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution.

Agentic AI Intern

DataRobot, Inc.

Boston, MA โ€ข On-site

Internship

Medical, Dental, Vision

Posted 23 days ago


Job description

Job Description:
DataRobot delivers AI that maximizes impact and minimizes business risk. Our platform and applications integrate into core business processes so teams can develop, deliver, and govern AI at scale. DataRobot empowers practitioners to deliver predictive and generative AI, and enables leaders to secure their AI assets. Organizations worldwide rely on DataRobot for AI that makes sense for their business - today and in the future.
Our interns are not observers - they are contributors. Each AI Native Intern is embedded in a real team, working on real problems, and is expected to deliver meaningful output over the course of the program. This is how we identify and develop the next generation of AI practitioners who will carry DataRobot's mission forward.
As an AI Native Intern, you will be placed on one of our engineering or product teams tackling high-impact, process-heavy work that is ripe for AI automation. Current focus areas include CVE resolution workflows (triage, impact assessment, dependency upgrades, and verification) and support ticket lifecycle management (categorization, diagnosis, routing, status updates, and resolution documentation). You will design and build agentic AI solutions that reduce manual toil and free engineers to focus on higher-order problems. This is a fully remote position. The program runs approximately 6 months.
WHAT YOU'LL DO:
  • Build and deploy agentic AI workflows that automate repeatable, high-volume engineering processes such as CVE triage and support ticket management
  • Use the DataRobot platform - including AutoML, GenAI tooling, and MLOps capabilities - to design, evaluate, and ship solutions
  • Translate ambiguous team pain points into well-scoped AI/ML problems with defined success criteria
  • Work autonomously on defined project deliverables while staying aligned with your mentor and team
  • Communicate progress through structured weekly updates and a final Intern Showcase presentation to DataRobot leadership
  • Collaborate across engineering, product, and go-to-market teams to understand context and deliver work that sticks
  • Document your work thoroughly so findings and solutions can be handed off and extended after the program

WHAT YOU'LL LEARN:
Agentic AI & Autonomous Systems
  • Design and implementation of multi-agent systems and autonomous reasoning loops
  • Agent evaluation frameworks, tool-use reliability, and safety guardrails for autonomous agents
  • Advanced orchestration using frameworks like LangGraph, CrewAI, or AutoGen for enterprise automation

Platform & Product
  • End-to-end proficiency on the DataRobot platform: GUI, Python/R clients, and API integrations
  • How to automate the ML lifecycle from data ingestion through deployment and monitoring

Business Acumen & Use Case Development
  • How to identify and size AI opportunities within real engineering workflows
  • How to communicate technical findings to both technical and non-technical stakeholders

Communication & Collaboration
  • Async-first collaboration using Slack, Confluence, and structured project updates
  • How to present technical work clearly to senior leaders at a live Intern Showcase

PROGRAM STRUCTURE:
Phase I - Month 1: Onboarding & Foundation
Get oriented to DataRobot's culture, tools, and platform. Complete structured training, co-create your Individual Learning Plan (ILP) with your mentor, and begin shadowing team members on real work.
Phase II - Months 2-3: Core Project Execution
Take ownership of a defined project scoped by your team. Work moves from guided to increasingly independent as you demonstrate competency. Expect weekly feedback from your mentor and regular touchpoints with your Buddy.
Phase III - Months 4-6: Synthesis & Showcase
Finalize your deliverables, document your findings, and prepare for the Intern Showcase - a live presentation to DataRobot leaders and peers. Optional rotations or cross-functional exposure may be available based on performance and team need.
WHAT WE'RE LOOKING FOR:
Required:
  • Currently pursuing or recently completed a Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Engineering, or a related quantitative field
  • Working proficiency in Python (pandas, numpy) and comfort with data manipulation and scripting
  • Foundational understanding of machine learning concepts - supervised learning, model evaluation, feature engineering
  • Deep passion for autonomous agents - you have experience building systems that "do" rather than just "chat"
  • Strong written and verbal communication skills; ability to explain technical work clearly to mixed audiences
  • Ability to work independently, manage ambiguity, and escalate blockers appropriately

Nice to Have:
  • Prior hands-on experience with LLMs, prompt engineering, or agentic frameworks (LangGraph, CrewAI, LlamaIndex)
  • Familiarity with the DataRobot platform or other MLOps/AutoML tools
  • Experience with API development (FastAPI, Flask) or containerization (Docker)
  • Prior internship, research, or project experience applying ML to real-world problems
  • Experience with or interest in DevSecOps concepts, CVE triage, or support engineering workflows

The talent and dedication of our employees are at the core of DataRobot's journey to be an iconic company. We strive to attract and retain the best talent by providing competitive pay and benefits with our employees' well-being at the core. Here's what your benefits package may include depending on your location and local legal requirements: Medical, Dental & Vision Insurance, Flexible Time Off Program, Paid Holidays, Paid Parental Leave, Global Employee Assistance Program (EAP) and more!
DataRobot Operating Principles:
  • Wow Our Customers
  • Set High Standards
  • Be Better Than Yesterday
  • Be Rigorous
  • Assume Positive Intent
  • Have the Tough Conversations
  • Be Better Together
  • Debate, Decide, Commit
  • Deliver Results
  • Overcommunicate

Research shows that many women only apply to jobs when they meet 100% of the qualifications while many men apply to jobs when they meet 60%. At DataRobot we encourage ALL candidates, especially women, people of color, LGBTQ+ identifying people, differently abled, and other people from marginalized groups to apply to our jobs, even if you do not check every box. We'd love to have a conversation with you and see if you might be a great fit.
DataRobot is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. DataRobot is committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. Please see the United States Department of Labor's EEO poster and EEO poster supplement for additional information.
Use of Artificial Intelligence in Our Hiring Process
DataRobot uses approved AI-powered tools to support the hiring process in selected regions. These tools may assist in writing job descriptions, reviewing applications, assessing qualifications, and evaluating candidate materials. All decisions regarding applications are made by members of the DataRobot team.
All applicant data submitted is handled in accordance with our Applicant Privacy Policy.