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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.

• 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

• 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

• 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

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.