Build and improve AI agents that automate engineering, fleet operations, and business workflows. Responsibilities include integrating LLMs with internal systems, implementing planning and tool-using agent workflows, developing backend services and APIs, evaluating models and frameworks, and contributing to internal AI platforms. The role requires strong programming fundamentals, Python or comparable language skills, and familiarity with machine learning or LLMs. Preferred experience includes agent frameworks, RAG, vector databases, cloud platforms, and containerization.
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 RoleWe 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
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
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Ranked among the hottest tech cities in 2024 by CompTIA, Charlotte is quickly cementing its place as a major U.S. tech hub. Home to more than 90,000 tech workers, the city’s ecosystem is primed for continued growth, fueled by billions in annual funding from heavyweights like Microsoft and RevTech Labs, which has created thousands of fintech jobs and made the city a go-to for tech pros looking for their next big opportunity.
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