engineer intern

geidea

<div>
 
 Established in 2008, Geidea epitomizes customer focused empowerment and commercial success through continuous innovation.
 
 
 Geidea makes best in class digital payment solutions available for all by attracting and leveraging the best creative &amp; entrepreneurial talent in the market
 
 
 Our solutions give any business the chance to get ahead and reach for more no matter their size or maturity.
 
 
 Our technology mirrors our people - Smart, Innovative &amp; Forward Thinking
 
 
 www.geidea.net
 
 
 
 
 
 To maintain a competitive advantage as we grow, we are currently looking for a new "Network Engineer Intern"
 
 
 
 
 
 
 Job Purpose
 
 
 
 Support the Network Engineering team in maintaining, monitoring, and documenting Geidea&rsquo;s network and security infrastructure across different regions, while gaining hands‑on experience in enterprise‑level networking and security within a fintech environment.
 
 
 
 
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Assist in monitoring and maintaining network infrastructure across Geidea regions (KSA, UAE, India, Egypt).
 </li>
 <li>
 Support basic configuration, monitoring, and troubleshooting of network devices such as:
 </li>
 <li>
 Routers and switches (Cisco)
 </li>
 <li>
 Firewalls (FortiGate, Palo Alto)
 </li>
 <li>
 Load balancers (F5)
 </li>
 <li>
 Help the team in implementing and reviewing
 
 PCI‑DSS network and security controls
 
 within the defined PCI scope.
 </li>
 <li>
 Provide
 
 Level 1 / Level 2 support
 
 for network‑related incidents under supervision.
 </li>
 <li>
 Assist in identifying potential network or security risks and escalating them to senior engineers.
 </li>
 <li>
 Support documentation activities, including:
 </li>
 <li>
 Network diagrams (HLD / LLD)
 </li>
 <li>
 LAN, WAN, and NSP documentation
 </li>
 <li>
 Operational procedures and runbooks
 </li>
 <li>
 Update tickets and incident records using the company&rsquo;s ticket management system and ensure proper follow‑up.
 </li>
 <li>
 Learn and apply network security best practices and internal standards used by the Network team.
 </li>
 <li>
 Participate in network improvement initiatives and new technology evaluations as assigned.
 </li>
 </ul>
 
 
 Qualifications &amp; Skills
 
 
 <ul>
 <li>
 Currently pursuing or recently graduated with a
 
 bachelor&rsquo;s degree in computer science, Information Technology, or a related field
 
 .
 </li>
 <li>
 Basic understanding of networking concepts (TCP/IP, LAN/WAN, routing, switching).
 </li>
 <li>
 Familiarity with network security fundamentals (firewalls, VPNs, access control).
 </li>
 <li>
 Exposure or academic knowledge of
 
 Cisco networking
 
 is a plus.
 </li>
 <li>
 Interest in learning
 
 firewalls, F5, and enterprise network technologies
 
 .
 </li>
 <li>
 Awareness of
 
 PCI‑DSS
 
 or information security concepts is a plus.
 </li>
 <li>
 Strong willingness to learn, adapt, and work in a fast‑paced fintech environment.
 </li>
 <li>
 Good communication skills and ability to work collaboratively within a team.
 </li>
 </ul>
 
 
 What You Will Gain
 
 
 <ul>
 <li>
 Hands‑on experience in
 
 enterprise‑scale network and security infrastructure
 
 .
 </li>
 <li>
 Exposure to
 
 fintech environments and PCI‑DSS compliance
 
 .
 </li>
 <li>
 Mentorship from experienced Senior Network Engineers.
 </li>
 <li>
 Opportunity to grow into a
 
 Junior / Network Engineer role
 
 based on performance.
 </li>
 </ul>
 
 
 
 
 
 Our values guide how we think and act &mdash; they describe what we care about the most:
 
 
 <ul>
 <li>
 
 Customer First
 
 &ndash; Embedded in our design thinking and service approach
 </li>
 <li>
 
 Open
 
 &ndash; Always learning, improving, and evolving
 </li>
 <li>
 
 Real
 
 &ndash; No jargon, no excuses
 </li>
 <li>
 
 Bold
 
 &ndash; We challenge ourselves and our thinking
 </li>
 <li>
 
 Resilient
 
 &ndash; We bounce back stronger
 </li>
 <li>
 
 Collaborative
 
 &ndash; We achieve more together
 </li>
 </ul>
 
 
</div>

Network Engineer Intern

Atheer ACT

<div>Atheer ACT is a Saudi deep-tech startup pioneering last-mile wireless connectivity through mmWave technology. As a Software Engineer Intern, you will gain hands-on experience in the telecommunications industry, contributing to impactful projects that shape the future of wireless connectivity in Saudi Arabia. This internship offers a unique opportunity to work alongside experienced engineers and learn best practices in software development within a fast-paced, collaborative environment. 
 
Key responsibilities include:<ul><li>
Develop and implement basic software features for internship projects by writing clean, tested code and assisting with debugging.</li><li>
Collaborate with engineering, product, and QA teams to understand requirements, contribute to design discussions, and translate user needs into implementable tasks.</li><li>
Adhere to software development best practices including version control, documentation, and basic CI/CD workflows.</li><li>
Participate in code reviews by submitting pull requests and addressing feedback.</li><li>
Apply fundamental telecommunications and networking concepts to support project objectives.</li><li>
Engage in a learning-focused environment, leveraging mentorship and feedback to grow technical skills.</li></ul> 

Requirements 
 
Required Qualifications:<ul><li>
Currently pursuing or recently completed a degree in Computer Science, Software Engineering, or a closely related field</li><li>
Interest or prior exposure to backend software development projects (academic, personal, or internship)</li><li>
Exposure to basic CI/CD workflows (such as running builds or tests via a pipeline)</li><li>
Experience participating in code reviews (submitting pull requests and addressing review feedback)</li><li>
Exposure to telecommunications or networking concepts (academic, personal, or internship)</li><li>
Experience collaborating with cross-functional teams (engineering, product, and/or QA) on software projects</li><li>
English proficiency</li><li>
Arabic proficiency</li><li>
Able to start in June or later</li></ul>
Preferred Qualifications:<ul><li>
Experience writing code with basic unit or integration tests (academic, personal, or internship)</li></ul> 

Benefits 
<ul><li>
Mentorship and training from experienced engineers in the telecommunications industry</li><li>
Exposure to advanced wireless connectivity projects and mmWave technology</li><li>
Opportunities for professional growth and skill development</li><li>
Collaborative work environment with cross-functional teams</li><li>
On-site experience in Riyadh, Saudi Arabia</li><li>
Participation in team events and company activities</li><li>
Supportive culture focused on learning and innovation</li></ul></div>

Software Engineer Intern

Teradata

<div>
 
 Our Company
 
 
 
 At Teradata, we believe that people thrive when empowered with better information. That&rsquo;s why we built the most complete cloud analytics and data platform for AI. By delivering harmonized data, trusted AI, and faster innovation, we uplift and empower our customers&mdash;and our customers&rsquo; customers&mdash;to make better, more confident decisions. The world&rsquo;s top companies across every major industry trust Teradata to improve business performance, enrich customer experiences, and fully integrate data across the enterprise.
 
 
 
 Our Internship Program
 
 
 
 Our Internship Program Our summer internship program lasts 10-12 weeks beginning in May/June and ending in August/September. We offer a fast-paced, flexible, fun environment where you will have the opportunity to work on meaningful projects and face new challenges every day.
 
 
 
 What You'll Do
 
 
 
 You will work on Projects Including:
 
 
 As an Agentic AI Engineer intern at Teradata, you&rsquo;ll build cutting-edge intelligent agents that transform how users explore data, derive insights, and automate workflows across industries such as healthcare, finance, and telecommunications.
 
 
 You will:
 
 
 <ul>
 <li>
 Design and write high-performing and scalable software for training models.
 </li>
 <li>
 Craft and implement techniques to improve the performance and results of our training cycles, both on the SFT and the RL.
 </li>
 <li>
 Supporting agent management, evaluating open-source frameworks, and implementing logical data models and memory support.
 </li>
 <li>
 Contributing to low-code/no-code agent construction and the integration of external data sources for complex use cases.
 
 
 </li>
 </ul>
 
 Who You'll Work With
 
 
 
 Join Forces with the Best. Collaborate with a talented team of AI architects, ML engineers, and domain experts in Silicon Valley, all working together to advance the future of enterprise AI. Work closely with infrastructure teams to scale AI workloads globally. This is a rare opportunity to shape cutting-edge AI capabilities within a dynamic, data-driven company, where innovation thrives, and your ideas help define the next generation of data interaction.
 
 
 
 What Makes You a Qualified Candidate
 
 
 
 <ul>
 <li>
 Pursuing a Bachelor&rsquo;s, Master&rsquo;s, or PhD degree in Computer Science, Electrical Engineering, or a related field.
 </li>
 <li>
 Expert in ML and fine-tuning large language models.
 </li>
 <li>
 Proficiency in Python and related ML frameworks such as JAX, Pytorch, and XLA/MLIR.
 </li>
 <li>
 Familiar with state-of-the-art techniques for preparing AI training data.
 
 
 </li>
 </ul>
 
 What You Will Bring
 
 
 
 <ul>
 <li>
 Experience with post-training the models to reach SOTA-level performance.
 </li>
 <li>
 Familiar with designing and implementing large-scale model training frameworks.
 </li>
 <li>
 Collaborating with pre-training, reasoning, data, multimodal, applied, and product efforts to push the frontiers of model capability.
 
 
 </li>
 </ul>
 Pay Rate: $29. 00 - $44. 00 - $50. 00 Hourly
 
 
 
 Why We Think You'll Love Teradata
 
 
 
 We prioritize a people-first culture because we know our people are at the very heart of our success. We embrace a flexible work model because we trust our people to make decisions about how, when, and where they work. We focus on well-being because we care about our people and their ability to thrive both personally and professionally. We are committed to actively working to foster an inclusive environment that celebrates people for all of who they are.
 
 
 
 
 
 Why We Think You&rsquo;ll Love Teradata
 
 
 
 We prioritize a people-first culture because we know our people are at the very heart of our success. We embrace a flexible work model because we trust our people to make decisions about how, when, and where they work. We focus on well-being because we care about our people and their ability to thrive both personally and professionally. We are an anti-racist company because our dedication to Diversity, Equity, and Inclusion is more than a statement. It is a deep commitment to doing the work to foster an equitable environment that celebrates people for all of who they are.
 
 
 Teradata invites all identities and backgrounds in the workplace. We work with deliberation and intent to ensure we are cultivating collaboration and inclusivity across our global organization. &ZeroWidthSpace; We are proud to be an equal opportunity and affirmative action employer. We do not discriminate based upon race, color, ancestry, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related conditions), national origin, sexual orientation, age, citizenship, marital status, disability, medical condition, genetic information, gender identity or expression, military and veteran status, or any other legally protected status.
</div>

AI Engineer Intern

Booz Allen Hamilton

<div>AIOps Engineer Intern
The Opportunity: 
Imagine using artificial intelligence (AI) to improve critical IT operations for Air Power. As a DevOps engineer, you know how to create efficient and effective solutions so you can quickly deliver the best operational data. Booz Allen is the leading provider of AI services to the nation, and we&rsquo;re looking for a DevOps engineer with knowledge of AIOps, MLOps, model ops, and data ops to help develop tools and get them into the hands of those who need them most.
Ready to transform warfighter capability with AIOps?
Join us. The world can&rsquo;t wait.
You Have:<ul><li>
Experience with observability tools, operational analytics, or AI‑enabled monitoring solutions such as Splunk, Dynatrace, and custom agents</li><li>
Experience with CI/CD pipelines and MLOps tooling for model deployment and drift detection</li><li>
Knowledge of machine learning fundamentals and practical application to anomaly detection and prediction</li><li>
Ability to communicate technical findings clearly to cross‑functional stakeholders</li><li>
Ability to obtain a Secret clearance</li><li>
Scheduled to obtain a Bachelor&rsquo;s degree by Summer 2028</li></ul>
Nice If You Have:<ul><li>
Experience working with cloud‑native architectures such as AWS, Azure, and Kubernetes</li><li>
Experience with reference architecture frameworks from internal AIOps projects or RA/RI initiatives</li><li>
Experience creating automated runbooks or agent‑based operational insights</li></ul>
Clearance:
Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information.
Compensation
At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen&rsquo;s benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.
Salary at Booz Allen is determined by various factors, including but not limited to location, the individual&rsquo;s particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $52,900.00 to $108,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen&rsquo;s total compensation package for employees. This posting will close within 90 days from the Posting Date.
Identity Statement
As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.
Candidate AI Usage Policy
AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided.
Work Model 
Our people-first culture prioritizes the benefits of collaboration, whether it occurs in person or virtually. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings.<ul><li>
Remote: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility.</li><li>
Hybrid: If this position is listed as hybrid, you will be expected to work from a Booz Allen facility frequently, in alignment with leadership expectations and the needs of the role. You may also be required to work from or visit a customer facility.</li><li>
Onsite: If this position is listed as onsite, work will primarily be performed at a Booz Allen office or customer facility, where employees will collaborate directly with colleagues and customers as required by the role.</li></ul>
Commitment to Non-Discrimination
All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.</div>

AIOps Engineer Intern

Tinder

<div>
 
 
 Our Mission
 
 
 
 
 &nbsp;
 
 
 
 
 As humans, there are few things more exciting than meeting someone new. At Tinder, we&rsquo;re inspired by the challenge of keeping the magic of human connection alive. With tens of millions of users, hundreds of millions of downloads, 2+ billion swipes per day, 20+ million matches per day, and a presence in 190+ countries, our reach is expansive&amp;mdash;and rapidly growing.
 
 
 
 
 &nbsp;
 
 
 
 
 We work together to solve complex problems. Behind the simplicity of every match, we think deeply about human relationships, behavioral science, network economics, AI and ML, online and real-world safety, cultural nuances, loneliness, love, sex, and more.
 
 
 
 
 &nbsp;
 
 
 
 
 
 
 Our Values
 
 
 
 
 
 
 
 
 Take the Lead
 
 
 
 We don't ghost our work or each other. Just as users don't leave their matches hanging, we don't let each other down.
 
 
 
 
 
 Move Fast
 
 
 
 We have a bias for action and urgency. Something that could be done tomorrow would be better if done today.
 
 
 
 
 
 Better Together
 
 
 
 We keep connection at the heart of dating and at the heart of how we work. Just as our users are better when they connect with others, so are we when we collaborate.
 
 
 
 
 
 Real Talk
 
 
 
 We say the hard thing the human way. Just as we ask our users to behave with kindness and candor in our community, we expect Team Tinder to do the same.
 
 
 
 
 
 Safety First
 
 
 
 We act with integrity, transparency, and consistency so people feel safe&amp;mdash;whether they're swiping, matching, or working alongside us.
 
 
 
 
 
 Spark Fun
 
 
 
 We have fun to unlock creativity, fuel innovation, and help us build better experiences for daters.
 
 
 
 
 
 
 
 
 
 
 Program Duration
 
 
 
 
 
 The internship program will run from June 1 through August 28, 2026.
 
 
 
 
 &nbsp;
 
 
 
 
 Where you&rsquo;ll work
 
 
 
 
 
 This is a hybrid role that requires in-office collaboration three days per week in either Los Angeles or Palo Alto, California.
 
 
 
 
 &nbsp;
 
 
 
 
 About the Role
 
 
 
 
 
 As a Backend Engineer Intern at Tinder, you will partner directly with senior members of the engineering team and be empowered to contribute solutions to Tinder&rsquo;s backend system. We are deeply invested in improving architecture design, exploring and leveraging new technologies in interesting ways to deliver an app that continues to shape how people connect globally.
 
 
 
 
 
 
 
 What you'll do:
 
 
 <li>
 Collaborate across Tinder Engineering on the expansion of our service platform
 </li>
 
 <li>
 Develop and operate scalable and resilient distributed services that run on Amazon Web Services (AWS)
 </li>
 
 <li>
 Build large scale distributed systems that handle billions of data events a day
 </li>
 
 <li>
 Write unit and integration tests.&nbsp;
 </li>
 
 <li>
 Access to cutting-edge Generative AI tools and the opportunity to apply them in real-world engineering work
 </li>
 
 
 
 
 
 What we're looking for:
 
 
 <li>
 Aspiring backend developer who&rsquo;s excited to work on large scale challenges with cutting-edge technology
 </li>
 
 <li>
 Proficiency in coding with at least one language (Java, Scala, Python,Typescript, Nodejs, etc.)
 </li>
 
 <li>
 Foundational knowledge of basic Computer Science principles: data structures and algorithms
 </li>
 
 <li>
 Curiosity and creativity in leveraging Generative AI to reimagine feature building and development workflows
 </li>
 
 <li>
 Currently pursuing a BS/BA, MS, or PhD in Computer Science or a related field
 </li>
 
 
 
 
 
 Nice to have:
 
 
 <li>
 Prior internship or work experience on backend systems
 </li>
 
 <li>
 Completed relevant project experience (i.e. hackathons, personal projects, GitHub, Open Source, volunteer coding experience etc.)
 </li>
 
 <li>
 Knowledge of technologies such as; Protocol Buffers, gRPC, Apache Kafka, Apache Flink, ElasticSearch, Redis
 </li>
 
 <li>
 Aware of AWS technologies like; DynamoDB, S3, RDS, ElastiCache
 </li>
 
 
 
 
 
 
 
 
 Commitment to Inclusion
 
 
 
 
 &nbsp;
 
 
 
 
 At Tinder, we don&rsquo;t just accept difference, we celebrate it. We strive to build a workplace that reflects the rich diversity of our members around the world, and we value unique perspectives and backgrounds. Even if you don&rsquo;t meet all the listed qualifications, we invite you to apply and show us how your skills could transfer. Tinder is proud to be an equal opportunity workplace where we welcome people of all sexes, gender identities, races, ethnicities, disabilities, and other lived experiences. Learn more here:&nbsp;
 
 
 https://www.lifeattinder.com/dei
 
 
 
 
 &nbsp;
 
 
 
 
 If you require reasonable accommodation to complete a job application, pre-employment testing, or a job interview or to otherwise participate in the hiring process, please speak to your Talent Acquisition Partner directly.
 
 
 
 
 &nbsp;
 
 
 
 
 #Tinder
 
 
 
 
 .
 
 
 
 
 The compensation range listed above is representative of the hourly rate offered.
 
 
 &nbsp;
 
 
 Factors such as scope and responsibilities of the position, candidate's work experience, education/training, job-related skills, internal peer equity, as well as market and business considerations may influence base pay offered. This salary range is reflective of a position based in Los Angeles, and Palo Alto, California. This hourly rate will be subject to a geographic adjustment (according to a specific city, state, and country), if an authorization is granted to work outside of the location listed in this posting.
 
</div>

Backend Engineer Intern

<div>
 
 
 Data Engineering Intern &mdash; PAM AI
 
 
 
 
 Location:
 
 Tysons, Virginia
 
 
 
 Type:
 
 Internship (Full-time or Part-time)
 
 
 
 
 
 
 About the Company:
 
 
 
 Pam is the AI workforce for automotive dealerships.
 
 
 Pam answers calls, books appointments, follows up with customers, and proactively reaches out to keep conversations moving 24/7. The fastest growing Voice AI solution reaching over 700+ dealerships across North America.
 
 
 Learn more:
 
 pam.ai
 
 
 
 
 
 
 
 Pam.ai is not able to provide employment visa sponsorship at this time. Candidates must be authorized to work in the United States without current or future sponsorship.
 
 
 
 
 
 
 
 The Problem
 
 
 
 Car dealerships lose billions in revenue every year&mdash;not because demand isn&rsquo;t there, but because
 
 customer communication is broken
 
 . Missed calls, slow responses, poor follow-ups, and fragmented systems lead to lost sales. PAM AI fixes this by acting as the
 
 AI operating layer for dealership communication
 
 &mdash;handling calls, texts, chat, and workflows 24/7. But the quality of that intelligence depends entirely on one thing:
 
 Data.
 
 
 
 
 
 
 
 The Role
 
 
 
 We&rsquo;re looking for a
 
 Data Engineering Intern
 
 who wants to work on the systems that directly determine how intelligent our AI becomes. This is not a "learning" internship in the traditional sense. You will be expected to
 
 build, ship, and own real infrastructure
 
 that sits in the critical path of our product.
 
 
 You&rsquo;ll work on:
 
 <ul>
 <li>
 Dataset infrastructure for conversational AI.
 </li>
 <li>
 Labeling systems that define ground truth for complex dealership intents.
 </li>
 <li>
 Pipelines that turn messy real-world interactions and garbled transcripts into usable intelligence.
 </li>
 </ul>
 
 If you&rsquo;re the type of person who enjoys turning chaos into structured systems, you&rsquo;ll thrive here.
 
 
 
 
 
 
 What You&rsquo;ll Do
 
 
 
 
 Build the Dataset Layer
 
 
 <ul>
 <li>
 Design and implement systems to
 
 ingest and index large volumes of dealership interaction data
 
 , including calls, transcripts, SMS, and chat.
 </li>
 <li>
 Create tools to
 
 search, filter, and explore datasets
 
 across the company, ensuring high-quality matches for dealership staff and services.
 </li>
 <li>
 Build internal infrastructure for
 
 dataset curation and metadata management
 
 .
 </li>
 </ul>
 
 
 Own the Labeling Stack
 
 
 <ul>
 <li>
 Design workflows that allow distributed labelers to
 
 produce high-quality annotations quickly
 
 .
 </li>
 <li>
 Improve labeling systems across speed, accuracy, and usability.
 </li>
 <li>
 Help define what "good data" looks like for conversational AI, addressing common issues like duplicate appointments, mis-transcriptions, and improper categorization.
 </li>
 </ul>
 
 
 Ship Data Pipelines
 
 
 <ul>
 <li>
 Build pipelines that transform raw, unstructured interaction data into structured training datasets.
 </li>
 <li>
 Integrate with dealership systems such as CRMs, schedulers like X-Time, and communication platforms.
 </li>
 <li>
 Improve reliability and observability of data flows to distinguish between successful lookups and system fallbacks.
 </li>
 </ul>
 
 
 Apply Data Insights to Pam Agents
 
 
 <ul>
 <li>
 Contribute to
 
 Internal Pam Agent Builder Tools
 
 , where agents are built and improved using prompt composer workers and automated evaluations.
 </li>
 <li>
 Connect datasets directly to agent behavior, evaluation, and iteration loops.
 </li>
 <li>
 Help close the loop between
 
 data &rarr; labeling &rarr; model &rarr; real-world performance
 
 .
 </li>
 </ul>
 
 
 
 
 
 What We&rsquo;re Looking For
 
 
 
 
 You might be a fit if:
 
 
 <ul>
 <li>
 You&rsquo;ve built systems before&mdash;not just taken classes.
 </li>
 <li>
 You&rsquo;re comfortable working in Python or TypeScript.
 </li>
 <li>
 You understand (or are eager to learn) how data pipelines and backend systems work.
 </li>
 <li>
 You care about
 
 data quality and correctness
 
 , not just getting something to run.
 </li>
 </ul>
 
 
 Strong signals:
 
 
 <ul>
 <li>
 You&rsquo;ve worked with messy, real-world datasets, such as garbled transcription IDs or inconsistent dealership records.
 </li>
 <li>
 You&rsquo;ve built internal tools or automation systems.
 </li>
 <li>
 You&rsquo;ve explored data labeling, evaluation, or ML workflows.
 </li>
 <li>
 You move fast and don&rsquo;t wait for perfect specs.
 </li>
 </ul>
 
 
 What Makes This Role Different
 
 
 <ul>
 <li>
 
 You will work on core product systems
 
 , not side projects.
 </li>
 <li>
 
 Your work will directly impact revenue
 
 for real businesses by improving appointment booking and lead capture.
 </li>
 <li>
 You&rsquo;ll operate in a
 
 high-ownership, low-process environment
 
 .
 </li>
 <li>
 You&rsquo;ll be expected to
 
 figure things out, not wait for instructions
 
 .
 </li>
 </ul>
 
 
 Example Problems You Might Tackle
 
 
 <ul>
 <li>
 Build a
 
 search engine over millions of dealership conversations
 
 to improve intent detection.
 </li>
 <li>
 Design a
 
 labeling system for customer intent, sentiment, and outcomes
 
 to resolve complex routing issues.
 </li>
 <li>
 Create pipelines that turn raw call transcripts into structured training data for multilingual support.
 </li>
 <li>
 Increase labeling throughput by 3x without sacrificing quality through better validation logic.
 </li>
 <li>
 Build tools that let non-technical operators contribute to AI training via the Agent Workbench.
 </li>
 </ul>
 
 
 
 
 
 Why This Matters
 
 
 
 Better data &rarr; better AI conversations
 
 
 Better AI conversations &rarr; more appointments booked
 
 
 More appointments &rarr; real revenue for dealerships
 
 
 You won&rsquo;t just be building infrastructure&mdash;you&rsquo;ll be
 
 directly influencing how businesses capture demand and operate
 
 .
 
 
 
 
 
 
 What You&rsquo;ll Get
 
 
 <ul>
 <li>
 Experience building
 
 production-grade data systems for AI
 
 .
 </li>
 <li>
 Exposure to real-world
 
 conversational AI at scale
 
 .
 </li>
 <li>
 High ownership and direct impact from day one.
 </li>
 <li>
 Close collaboration with a small, highly technical team.
 </li>
 </ul>
 
 
</div>

Data Engineer Intern

AR5 Labs

AI Engineering Intern &mdash; AR5 LabsRemote | InternshipABOUT AR5 LABSAR5 Labs builds AI-powered automation tools for data analytics. Our flagship product, PlotStudio AI, is a desktop analytics platform where specialized AI agents collaborate through a multi-stage pipeline to deliver the kind of analysis a senior data scientist would produce, complete with code, visualizations, statistical rigor, and executive-grade narrative. Think Cursor, but for data analytics.Product: https://www.plotstudio.ai/LinkedIn: https://www.linkedin.com/company/ar5-labs/ABOUT THE ROLEWe're looking for an AI Engineering Intern to help build and improve the AI agent pipeline behind PlotStudio AI.This is not a research internship. You'll work on production AI systems: prompt engineering, agent orchestration, model evaluation, and the infrastructure that makes multi-agent workflows reliable. You'll see how AI agents are actually built, tested, and shipped to real users.You'll work directly with the founder and the AI/ML team. The codebase is small enough that your contributions will ship to production quickly, and complex enough that you'll learn how a real multi-agent system works from the inside.If you're a student who wants to build AI systems, not just study them, this is the role.RESPONSIBILITIES- Help design, test, and iterate on prompts for PlotStudio's multi-agent pipeline (routing, planning, coding, interpretation agents)- Build evaluation scripts to benchmark agent output quality across different datasets and question types- Run experiments comparing model performance (GPT-4.1, GPT-5.1, Claude, Gemini) on specific analytical tasks- Help improve agent self-correction logic: how the system detects errors, retries, and adjusts its approach- Work on domain skill modules that inject specialized knowledge (finance, healthcare, econometrics) into the agent pipeline- Build internal tooling for tracking agent accuracy, token usage, and failure modes- Help extend the agent orchestration layer (built with LangGraph) to support new workflow types- Document prompt versions, experiment results, and engineering decisions as you goQUALIFICATIONSRequired:- Currently pursuing a degree in Computer Science, Data Science, AI/ML, or a related field (rising sophomore, junior, or senior)- Comfortable writing Python. You should be able to read, write, and debug code independently- Basic understanding of how LLMs work: prompts, tokens, context windows, temperature- Genuine interest in AI agents, not just chatbots. You should have an opinion on why single-prompt AI falls short for complex tasks- Willingness to experiment, break things, and iterate quickly- Self-directed and comfortable asking questions when you're stuck- Able to commit 15-20 hours per weekNice to have:- Experience using the OpenAI API, Anthropic API, or any LLM SDK- Familiarity with LangChain, LangGraph, CrewAI, or any agent framework- Personal projects involving LLMs, prompt engineering, or AI agents- Coursework in machine learning, NLP, or statistics- Familiarity with Git and version control- Experience with FastAPI, Flask, or any Python backend framework- Understanding of statistical methods (regression, hypothesis testing, time series)WHAT YOU'LL LEARN- How a production multi-agent system is built: routing, planning, execution, self-correction, and interpretation agents working in sequence- Prompt engineering at a level most people never see: versioned prompts, domain-aware injection, structured output parsing, and quality gates between agents- How to evaluate AI systems beyond vibes: building benchmarks, measuring accuracy, tracking regressions across prompt versions- How to ship AI to real users in a small, fast-moving teamWHY THIS INTERNSHIP- You'll work on a real multi-agent AI system, not a tutorial project- Small team means high visibility and direct mentorship from the founder- Your work will ship to production and be used by real customers- You'll have something concrete for your resume: &quot;I helped build and evaluate the AI agent pipeline for a production analytics platform&quot;MUST HAVEWe are across the United States and Canada. Must be a citizen of either country.HOW TO APPLYFollow our LinkedIn page and DM us directly, or email us:1. A short intro about yourself2. Your resume or LinkedIn profile3. What year you're in and what you're studying4. Why you want to work at AR5 LabsEmail: plotstudio@ar5labs.comLinkedIn: https://www.linkedin.com/company/ar5-labs/Pay: $20.00 - $45.00 per hourWork Location: Remote

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