As a Software Engineering Intern at Socratix AI, you’ll work directly with our founding team to build production-grade AI systems used by real fraud and risk teams. This is not a “side project” internship - you’ll ship meaningful features, contribute to live systems, and help shape the product from 0 → 1.

You’ll gain hands-on experience building AI agents, backend systems, and scalable infrastructure while learning what it takes to build a high-growth startup from the ground up.

If you’re excited about AI, ownership, and moving fast, you’ll thrive here.

What You’ll Do

• Learn by building - Work on real agentic AI systems (Python + FastAPI): APIs, multi-agent workflows, and integrations that power enterprise products in critical industries.
• Ship real features - Contribute to LLM workflows, RAG pipelines, and agent orchestration that customers use today.
• Work alongside the team - Collaborate with founders and senior engineers on real roadmap items, not side tasks.
• Grow your craft - Help improve reliability, performance, and scalability while getting feedback and mentorship.
• See impact fast - Be part of customer feedback loops and quick iteration so you see how your work matters.

We treat interns as part of the team: you’ll own real work, get clear feedback, and see your code in production.

What We’re Looking For

Must-haves:

• Currently pursuing a degree in Computer Science or related field.
• Strong fundamentals in data structures and algorithms.
• Experience with Python or another backend language.
• Familiarity with APIs and web services.
• Curiosity about AI/ML systems and how they work in production.
• Builder mindset - you like shipping real things, not just coursework.

Nice-to-haves (but not required):

• Builder mindset - You’ve shipped something beyond coursework: side projects, hackathons, or contributions to real codebases.
• Exposure to agentic development - Interest or experience with multi-agent systems, agent orchestration, or workflow-style AI (e.g. LangChain, tool use, agent frameworks).
• Experience with LLMs in practice - Any hands-on with LLMs, RAG, embeddings, or prompt engineering, even in personal or academic projects.

What You’ll Gain

• Direct mentorship from founders who’ve built and scaled AI systems at DoorDash, Cruise, LinkedIn, and Unit21.
• Exposure to enterprise customers and real-world AI deployment challenges.
• End-to-end ownership of impactful features.
• Insight into startup execution, fundraising, and product strategy.
• Opportunity to convert to a full-time role based on performance.