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Bot Auto

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

  • Seen live on Bot Auto's site yesterday
  • Intern / co-op
  • Fall 2026
  • Winter 2026
Pay
Not stated
Location
Houston, TX
Open for
18+ days
First seen
Oct 18, 2026
Apply on Bot Auto's site (opens in a new tab)

Posting record

No flags

Open 18+ days

The posting's record, oldest first
  1. Bot Auto's site dates the posting
  2. Ghostless first sees this listing
  3. Last checked: still up
How we know

It hasn't been reposted, listed twice, or left up unusually long, and the posting doesn't say it's a talent pool.

Ghostless records the day it first sees a posting, so a repost can't reset its age. This one was already up when Ghostless started tracking Bot Auto, so its true age is longer.

Last checked Nov 3, 2026.

How well do you match?

See how much of this posting your resume shows, and what it's missing.

Upload your resume

What it asks of you

Must be a current student
“Currently pursuing a Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field” (quoted from the posting)

What the posting discloses

Not stated: Pay, real vacancy, AI screening.

Why these three

Ontario requires postings from employers with 25 or more staff to state the pay, whether the vacancy exists, and whether AI screens applicants.

Some employers add pay only on their own site. Check the original posting before you rule it out.

Skills mentioned

About the role

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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