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.
What You'll Do
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Design, build, and iterate on AI agents that automate engineering, operational, and business workflows
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Develop integrations between LLMs and internal systems, tools, and data sources
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Implement agent workflows involving planning, tool usage, memory, and multi-step reasoning
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Experiment with prompt engineering, evaluation techniques, and model optimization strategies
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Build backend services and APIs to support scalable deployment of AI agents
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Collaborate with engineers and cross-functional teams to identify high-impact automation opportunities
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Evaluate and benchmark emerging AI agent frameworks, models, and tools
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Contribute to internal platforms that enable rapid development and deployment of AI-powered solutions
Qualifications
Required:
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Currently pursuing a Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field
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Strong programming skills in Python (preferred) or other languages such as Go, Java, or JavaScript/TypeScript
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Solid understanding of data structures, algorithms, and software engineering fundamentals
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Familiarity with machine learning or large language models (through coursework, projects, or internships)
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Strong curiosity about AI systems and eagerness to explore new technologies
Preferred
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Hands-on experience with LLM APIs (e.g., OpenAI, open-source models) or agent frameworks (LangChain, AutoGen, etc.)
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Experience building backend systems, APIs, or distributed systems
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Familiarity with prompt engineering, RAG (retrieval-augmented generation), or vector databases
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Exposure to evaluation methods for AI systems (benchmarks, metrics, human-in-the-loop feedback)
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Experience with cloud platforms (AWS, GCP, Azure) or containerization (Docker, Kubernetes)
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Interest in applying AI to real-world problems such as automation, productivity, and decision-making