Intern, Software Engineer AI Agents

Responsibilities

• Design, build, and iterate on AI agents that automate engineering, operational, and business workflows.
• Develop integrations between LLMs and internal systems, tools, and data sources.
• Implement agent workflows involving planning, tool usage, memory, and multi-step reasoning.
• Experiment with prompt engineering, evaluation techniques, and model optimization strategies.
• Build backend services and APIs to support scalable deployment of AI agents.
• Collaborate with engineers and cross-functional teams to identify high-impact automation opportunities.
• Evaluate and benchmark emerging AI agent frameworks, models, and tools.
• Contribute to internal platforms that enable rapid development and deployment of AI-powered solutions.

Requirements

• Currently pursuing a Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field.
• Strong programming skills in Python preferred, or Go, Java, or JavaScript/TypeScript.
• Solid understanding of data structures, algorithms, and software engineering fundamentals.
• Familiarity with machine learning or large language models through coursework, projects, or internships.
• Strong curiosity about AI systems and eagerness to explore new technologies.
• Preferred: hands-on experience with LLM APIs such as OpenAI or open-source models, or agent frameworks such as LangChain and AutoGen.
• Preferred: experience building backend systems, APIs, or distributed systems.
• Preferred: familiarity with prompt engineering, RAG, or vector databases.
• Preferred: exposure to AI evaluation methods including benchmarks, metrics, and human-in-the-loop feedback.
• Preferred: experience with AWS, GCP, or Azure, or containerization using Docker and Kubernetes.
• Preferred: interest in applying AI to automation, productivity, and decision-making.