Software Engineering Intern

AI in this role

Build software features and AI integrations as an engineering intern at an AI-focused growth platform.

openaianthropicllmsembeddings

ai-researchsoftware-engineeringmachine-learningpython

About Clay

AI is unleashing the biggest wave of company creation in history. Clay's mission is to be the engine those companies use to grow to their full potential.

Clay predicts the next best action for your business and then helps you take it. We started by aggregating the best data for B2B companies. Then, we built the infrastructure to run any personalized campaign on top of it, including emails, ads, landing pages, and workflows that make reps more productive. Now, we're building agents that can help grow your company for you. We're already helping thousands of customers — including Anthropic, OpenAI, Google, and Visa — go to market with unique data, signals, and AI research.

In 2026, we raised a $115M Series D at $7.1B Valuation led by Wellington — and are on track to cross $200M in revenue this quarter. We also launched a $1M Scholarship fund for GTME Education.

Some things to know about us:

Our community includes 17,000+ customers, 200+ integration partners, 125+ agencies, 50+ Clay clubs, and 30k members on Slack.
Our culture is unique inside and outside of work. Our team members are also DJs, activists, writers, clowns, marathoners, skydivers, psychedelic therapists, social workers, and more.
All employees can work with world-class coaches who specialize in creativity, management, and more.
Our operating principles — including negative maintenance and non-attached action — guide our work. Read more about them here.
Read about us in the NYT, Forbes, First Round Review, and more.

Hear from our employees directly on our Glassdoor page!

Qualifications

You're currently pursuing a degree in Computer Science or a related field
You have some hands-on experience building software — through 2 previous internships, coursework, personal projects, or hackathons.
AI enthusiast: You have built or prototyped features with AI technologies (LLMs, embeddings, ML) and are interested in learning more at an AI forward company!
Thoughtful problem-solving: For you, problem-solving starts with a clear and accurate understanding of the context. You can decompose tricky problems and work towards a clean solution, by yourself or with teammates. You're comfortable asking for help when you get stuck.
You love to collaborate with others to ship high quality, thoughtful features. You're curious about talking to customers, thinking through different approaches, and working with teammates to find the right solution.
Diversity of perspectives and interests. We hope to build a team that is curious, and open-minded.
You're familiar with some of our tech stack, or excited to learn quickly. Our current tech stack is:
- React, Typescript, Python, Node.js
- AWS services: Aurora (Postgres), Elasticache (Redis), Elastic Container Registry (ECR), ECS (Fargate), Lambda, OpenSearch
- IaC: Terraform
- Deployment tools: CircleCI, Netlify, Playwright
- Observability tools: Cloudwatch, Datadog, Mezmo

How we rate this

Software Engineering Intern at Clay rates 80 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.

Classification

Builds AI. The job is building AI systems.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.

Prepare for this job

A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.

Skills and AI tools this role asks for

AI ResearchSoftware EngineeringMachine LearningPythonOpenAIAnthropicLLMsEmbeddings

Questions you could be asked

Tell me about a research question you investigated. What did you find?
Tell me about a project where software engineering was part of your work. What did you do?
Tell me about a project where machine learning was part of your work. What did you do?
Tell me about a project where python was part of your work. What did you do?
Walk me through how you've used OpenAI in your day-to-day work.

Adapt your resume

List these exact terms on your resume: AI Research, Software Engineering, Machine Learning, Python, and OpenAI. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.
Lead with what you built, trained or shipped — this role is judged on the AI system itself, not the tools around it.

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