Stateside Spec Engineering jobs in the United States

Bot Auto

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

Houston Office · On-site · Intern

Discipline
Software
Industry
Manufacturing

Spec sheet

Automatically summarized from the employer’s posting. Check the original description below for full requirements.

Internship - Tech

Software Engineer Intern in the AI Agents team focusing on building and deploying AI-powered agents; Houston office, US. Responsibilities include design, development, and evaluation of AI agents, integration with internal systems, and backend services; requires CS/Engineering degree progress and Python proficiency.

Day shift · Bachelor’s or Master’s in CS/Engineering

Required

  • Python
  • data structures
  • algorithms
  • software engineering fundamentals
  • LLMs or ML familiarity
  • interest in AI systems
  • team collaboration

Preferred

  • LLM APIs
  • agent frameworks (LangChain, AutoGen)
  • backend systems
  • cloud platforms
  • Docker/Kubernetes
  • prompt engineering
  • RAG
  • vector databases

Benefits

  • medical
  • 401k
  • PTO

Employer description

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

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