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

- Company: [Bot Auto](https://bot.auto)
- Location: Houston, TX
- Type: Internship · Internship
- Posted: 2026-09-18
- Apply: https://job-boards.greenhouse.io/botauto/jobs/5429357008
- Page: https://newgrad.ai/jobs/intern-software-engineer-ai-agents-fall-winter-2026-612974

## Summary by newgrad.ai

What you'll do:

- Create and refine automated agents that handle tasks across engineering, operations, and business functions
- Connect language models with existing company infrastructure, applications, and information sources
- Construct multi-step agent processes using planning, tool selection, memory, and reasoning capabilities
- Test different prompting methods, assessment approaches, and model tuning techniques
- Construct scalable backend infrastructure and interfaces for deploying AI agents

What they're looking for:

- Enrolled in an undergraduate or graduate program in CS, Engineering, or similar discipline
- Proficient in Python or alternative languages like Go, Java, or TypeScript
- Competent with core computer science concepts including algorithms and data organization
- Prior exposure to AI/ML concepts via classes, personal projects, or previous internship work
- Genuine interest in AI technology with motivation to learn emerging approaches

## Posting

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

From Bot Auto's public posting, laid out for reading by newgrad.ai with the wording unchanged. Check the original before you apply.

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