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Bot Auto

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

Houston, TX · On-site · Internship - Tech

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About the role

LLMsRAGPrompt EngineeringPythonJavaScriptTypeScriptJavaGoAWSGCPAzureDockerKubernetesDistributed SystemsMachine LearningLangChain
Company Introduction 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. About the Role We are seeking a highly motivated Software Engineer Intern 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. Key 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 Qualifications Required: - 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 other languages such as 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 (e.g., OpenAI, open-source models) or agent frameworks (LangChain, AutoGen, etc.) - Experience building backend systems, APIs, or distributed systems - Familiarity with prompt engineering, RAG (retrieval-augmented generation), or vector databases - Exposure to evaluation methods for AI systems (benchmarks, metrics, human-in-the-loop feedback) - Experience with cloud platforms (AWS, GCP, Azure) or containerization (Docker, Kubernetes) - Interest in applying AI to real-world problems such as automation, productivity, and decision-making