About the Role

This internship is part of Tech Seeds 2026 — our program to identify and develop AI-native young talent. As an Applied AI Agent Engineer young talent, you will take on a hands-on builder role at the intersection of LLMs and production systems, working alongside full-time engineers on agent workflows, tool integrations, backend services, and AI system architecture from day one.

This is not a shadowing role. You will own deliverables, run experiments, and ship code that matters.

What You'll Do

Support the design and development of AI agent workflows and LLM-powered application components

Build and test prompt strategies, retrieval flows, tool-use logic, orchestration patterns, and backend integrations

Assist in defining evaluation metrics, running benchmarks, and analyzing failure cases

Improve system performance across quality, latency, reliability, safety, and cost

Use AI coding tools as a normal part of your workflow to accelerate development and problem-solving

Collaborate with engineers and cross-functional teams to understand how production AI systems are designed, deployed, and improved

Contribute to backend services, APIs, internal tools, or lightweight user interfaces when needed

What We're Looking For

Currently pursuing a Bachelor’s or Master’s degree in Computer Science, Software Engineering, Data Science, or a related field

Expected graduation in 2026 or 2027

Solid programming skills in Python or Java; familiarity with backend engineering is preferred

Good problem-solving ability and comfort working with APIs, debugging, and data

Strong curiosity about LLMs, AI agents, automation, and real-world system design

Ability to break down ambiguous problems and move from idea to working prototype

Comfortable learning quickly and working in a fast-moving environment

Available for a 6-month full-time commitment

Bonus Points

Personal projects or coursework involving LLM applications, agent systems, automation, or AI-assisted development

Familiarity with OpenAI APIs, Anthropic APIs, Hugging Face, LangChain, vector databases, or workflow tools

Experience with Git, databases, backend services, or cloud platforms

What Makes You a Fit for Tech Seeds 2026

You are curious, proactive, and builder-minded. You already experiment with AI tools on your own, learn quickly, and want to turn AI ideas into practical systems that work in the real world.