Software Engineering Intern

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.