As an engineering intern, you will develop AI solutions, collaborate with teams, optimize algorithms, document your work, and showcase projects.
Drivetrain is on a mission to empower businesses to make better decisions. Our financial planning & decision-making platform helps companies scale and achieve their targets predictably.
Drivetrain is a remote-first company headquartered in the San Francisco Bay Area. Founded in 2021 by a couple of ex-Googlers, Drivetrain is a fast-growing company on a trajectory for success with backing from leading venture capital firms.
Drivetrain provides a great culture for its employees to thrive in and be happy.
💜 Remote-friendly: Drivetrain brings together the best and the brightest, no matter where they are and provides them a great degree of autonomy. We trust our people.
🗣️ Open & transparent: We know that when our creators have access to all the information they need, their best work will emerge.
👏 Idea-friendly: We provide an environment to explore new ideas, to take risks, to make mistakes, and to learn, so you can succeed. Anyone in the company can come up with great ideas and become a catalyst for positive change. We let the best ideas win.
👥 Customer-centric: We follow a product-led growth strategy, continuously learning from our customers and collaborating to build the amazing software that Drivetrain is.
About the Role
We are seeking highly motivated Computer Science engineering interns passionate about Generative AI to join our team. You will work on real-world projects involving Retrieval-Augmented Generation (RAG), Agentic AI, and Large Language Models (LLMs) to enhance our FP&A (Financial Planning & Analysis) platform. This is a unique opportunity to gain hands-on experience at the intersection of AI and enterprise automation.
Key Responsibilities
Develop & Experiment: Build and prototype Gen AI solutions using RAG, agentic workflows, and LLMs for FP&A use cases.
Collaborate: Work closely with product and engineering teams to integrate AI-driven features into the platform.
Optimize: Apply strong computer science fundamentals to design efficient algorithms, data structures, and scalable systems.
Document & Present: Clearly document your work, build workflow diagrams, and present results to the team.
Showcase: Complete and demonstrate end-to-end projects that highlight your technical and problem-solving skills.
Qualifications
Academic Background: Currently pursuing or recently completed a degree in Computer Science or a related field.
Technical Skills: Strong understanding of DSA (Data Structures & Algorithms), system design, and problem-solving.
AI/ML Exposure: Familiarity with concepts such as RAG, Agentic AI, and LLMs. Completion of relevant projects is preferred.
Practical Experience: Demonstrated ability to build and showcase end-to-end projects in AI/ML or related fields.
Communication: Excellent verbal and written communication skills.
Preferred
Project Portfolio: Evidence of completed projects involving Gen AI, RAG, or agentic workflows.
Hands-on Skills: Experience with modern AI frameworks, cloud platforms, and API integration.
Why Drivetrain.ai?
Real-World Impact: Work on cutting-edge Gen AI projects for enterprise automation.
Mentorship: Learn from industry experts and collaborate with a passionate team.
Flexibility: Remote or hybrid options available to suit your schedule.
Apply now and help shape the future of intelligent FP&A!
Candidates with a strong project portfolio and solid computer science fundamentals are encouraged to apply.
Sounds exciting? Apply at [email protected]. It may just be the next best decision you’ve ever made!
Similar Jobs
.png)
Artificial Intelligence • Big Data • Healthtech • Machine Learning • Software • Biotech • Medical Devices & Diagnostics
Drive territory growth and meet sales goals for Galleri, GRAIL’s multi-cancer early detection product. Prospect and onboard primary care practices, engage healthcare providers and staff through consultative selling, deliver clinical education and value-based presentations, and collaborate with medical, marketing, billing, and customer-facing teams. Analyze territory and customer trends, maintain CRM documentation, support promotional activities, and build long-term provider relationships while ensuring compliance with healthcare standards.
Top Skills:
Crm SystemsGoogle SuiteMulti-Cancer Early Detection (Mced) TechnologyNext-Generation Sequencing (Ngs)
Aerospace • Hardware • Robotics • Software
Build Revel’s security program from the ground up, securing its product, infrastructure, cloud, on-premises, hardware-integrated environments, and software delivery pipelines. Responsibilities include threat modeling, security architecture, Infrastructure as Code, detection and incident response, vulnerability management, compliance with ITAR/NIST/CUI/CMMC requirements, customer security reviews, and security enablement. The role will establish foundational processes and may eventually lead a growing security team.
Top Skills:
AWSAws CdkAws GovcloudAzure GovernmentCi/CdCmmcCrowdstrikeCuiDisa StigsDockerEdrFedrampGoInfrastructure As CodeItarKubernetesLinuxNist 800-171Nist 800-53PantherPythonRmfRustSentineloneSIEMSplunkTerraform
Artificial Intelligence • Cloud • HR Tech • Information Technology • Productivity • Software • Automation
Build and operate enterprise IAM platforms, integrations, provisioning workflows, and lifecycle automation. Lead CI/CD and infrastructure-as-code initiatives using GitLab, Jenkins, Terraform, Ansible, and Puppet. Develop full-stack IAM services, apply analytics and AI to identity governance, and ensure scalable, reliable, auditable systems. Mentor junior and mid-level engineers, lead technical initiatives, conduct design and code reviews, and collaborate with security, compliance, product, and engineering teams.
Top Skills:
AngularjsAnsibleC#CursorGitlabGitlab RunnersHTML/CSSJavaJavaScriptJenkinsJfrogJunitMySQLNeo4JNexusOauth2OidcPlaywrightPostgresPuppetPythonRest ApisSailpointSAMLScimSeleniumServicenowTerraformTestngUnixVezaWindsurf
What you need to know about the Boston Tech Scene
Boston is a powerhouse for technology innovation thanks to world-class research universities like MIT and Harvard and a robust pipeline of venture capital investment. Host to the first telephone call and one of the first general-purpose computers ever put into use, Boston is now a hub for biotechnology, robotics and artificial intelligence — though it’s also home to several B2B software giants. So it’s no surprise that the city consistently ranks among the greatest startup ecosystems in the world.
Key Facts About Boston Tech
- Number of Tech Workers: 269,000; 9.4% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Thermo Fisher Scientific, Toast, Klaviyo, HubSpot, DraftKings
- Key Industries: Artificial intelligence, biotechnology, robotics, software, aerospace
- Funding Landscape: $15.7 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Summit Partners, Volition Capital, Bain Capital Ventures, MassVentures, Highland Capital Partners
- Research Centers and Universities: MIT, Harvard University, Boston College, Tufts University, Boston University, Northeastern University, Smithsonian Astrophysical Observatory, National Bureau of Economic Research, Broad Institute, Lowell Center for Space Science & Technology, National Emerging Infectious Diseases Laboratories
