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