Project Intern

LTIMindtree•Seattle, WA

7h•Onsite

About The Position

We're growing. And we're hiring interns to build AI systems. But here's what we've learned: the hard part isn't the code. The hard part is figuring out what to build. It's explaining your work so others can use it. It's noticing when your "working" system fails people in ways the metrics don't capture. It's having the imagination to try something no tutorial taught you. We need people who can program. We also need people who can think . The Work Location: Seattle, Washington (in-person) You'll build real things that ship to real users: Agentic AI systems — autonomous agents that reason and act Model Context Protocol integrations — connecting AI to external tools and data AI interfaces — GUIs for automation tools that humans actually want to use This isn't a "shadow someone and make slides" internship. You'll write production code. You'll break things. You'll fix them. You'll learn fast because you have to. You won't be doing this alone. You'll work alongside engineers, designers, and other interns — reviewing each other's code, hashing out ideas on whiteboards, debugging together when something breaks at 4pm on a Friday. The best solutions here come from people building on each other's thinking, not from someone genius-coding in a corner. If you're the type who asks questions, shares what you're learning, and makes the people around you better — you'll thrive. What we're really looking for: You write well. AI runs on language now. The person who can write a clear prompt, a clear doc, or a clear Slack message has a superpower. If you've ever been frustrated by someone's vague instructions, you understand why this matters. You think about the people using what you build. Not as an afterthought. You ask: Who is this for? What happens when it breaks? What are we assuming about the user that might be wrong? You take responsibility seriously. AI systems have real effects. You don't need to have all the answers on AI ethics, but you should be someone who notices when something feels off and says so. You know how to frame problems. Anyone can be handed a spec and execute. Fewer people can look at a messy situation and figure out what the actual problem is. That's the skill that compounds. You try things. Creativity isn't about being artistic. It's about trying an approach that isn't obvious, seeing if it works, and learning either way. What We're Not Going to Pretend We're a big company — 90,000 people across 30+ countries. That means collaborating with teammates in different time zones, learning to communicate asynchronously, and getting comfortable with the rhythms of global work. But it also means real clients, real scale, and problems that matter. We're a Great Place to Work (certified, yes), but more relevantly: the people you'll work with are good at what they do and genuinely want interns to learn, not just to do their busywork. Apply if this sounds like you You're technical and thoughtful. You want to build things and understand why they matter. You're not just looking for a brand name on your resume — you want to actually get better at this. About LTIMindtree: We're a global technology consulting company helping enterprises transform through digital technologies. 750+ clients, nearly 90,000 employees, a merger of Larsen & Toubro Infotech and Mindtree. More at ltimindtree.com. Equal Opportunity/Affirmative Action employer. All qualified applicants receive consideration regardless of race, color, religion, sex, national origin, gender identity, sexual orientation, disability, veteran status, or other protected characteristics. COVID-19 Vaccination Requirement: Our client requires all employees working on this engagement to be vaccinated against COVID-19. If you need a reasonable accommodation for a sincerely held religious belief or medical condition, please contact [email protected].

Requirements

You can write Python. Not "I followed a tutorial once" — you can build things.
You've done real math: linear algebra, probability, statistics.
You're a junior/senior in CS, engineering, math, data science, cybersecurity, MIS, or similar — or a grad student with a technology focus — or you've completed an accredited accelerated program.
GPA of 3.0+
Flexibility to work across technologies and adjust to project needs (including occasional shift flexibility for global collaboration)