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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.
Job Responsibility:
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
Requirements:
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 have:
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 we offer:
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