Intern, Software Engineer AI Agents (Fall/Winter 2026) at Bot Auto

<h3><strong>Company Introduction</strong></h3> <p>At Bot Auto, we are revolutionizing the transportation of goods with our cutting-edge autonomous trucks, enhancing the quality of life for communities around the globe. With the agility of a start-up and the wisdom of seasoned experts, Bot Auto boasts a team that has achieved numerous world-firsts and unparalleled innovations. United by a shared vision, we create miracles and propel the future of transportation. Join us and transform your dreams into reality.</p> <h3><strong>About the Role</strong></h3> <p>We are seeking a highly motivated <strong>Software Engineer Intern</strong> to join our AI Agents team. This team explores, prototypes, and productionizes cutting-edge AI agent technologies to accelerate productivity, automate workflows, and enhance knowledge sharing across the organization. You will work on building and improving AI-powered agents that support a wide range of functions, including software development, fleet operations, and business processes. This is a unique opportunity to experiment with the latest advancements in large language models (LLMs), agent frameworks, and autonomous workflows, while delivering practical impact in a real-world environment.</p> <h3>Key Responsibilities</h3> <ul> <li>Design, build, and iterate on AI agents that automate engineering, operational, and business workflows</li> <li>Develop integrations between LLMs and internal systems, tools, and data sources</li> <li>Implement agent workflows involving planning, tool usage, memory, and multi-step reasoning</li> <li>Experiment with prompt engineering, evaluation techniques, and model optimization strategies</li> <li>Build backend services and APIs to support scalable deployment of AI agents</li> <li>Collaborate with engineers and cross-functional teams to identify high-impact automation opportunities</li> <li>Evaluate and benchmark emerging AI agent frameworks, models, and tools</li> <li>Contribute to internal platforms that enable rapid development and deployment of AI-powered solutions</li> </ul> <h3><strong>Qualifications</strong></h3> <p><strong>Required:</strong></p> <ul> <li>Currently pursuing a Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field</li> <li>Strong programming skills in Python (preferred) or other languages such as Go, Java, or JavaScript/TypeScript</li> <li>Solid understanding of data structures, algorithms, and software engineering fundamentals</li> <li>Familiarity with machine learning or large language models (through coursework, projects, or internships)</li> <li>Strong curiosity about AI systems and eagerness to explore new technologies</li> </ul> <p><strong>Preferred:</strong></p> <ul> <li>Hands-on experience with LLM APIs (e.g., OpenAI, open-source models) or agent frameworks (LangChain, AutoGen, etc.)</li> <li>Experience building backend systems, APIs, or distributed systems</li> <li>Familiarity with prompt engineering, RAG (retrieval-augmented generation), or vector databases</li> <li>Exposure to evaluation methods for AI systems (benchmarks, metrics, human-in-the-loop feedback)</li> <li>Experience with cloud platforms (AWS, GCP, Azure) or containerization (Docker, Kubernetes)</li> <li>Interest in applying AI to real-world problems such as automation, productivity, and decision-making</li> </ul>