1 day ago
Houston, TX, USAIntern
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.
Requirements
- 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 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 such as OpenAI or open-source models, or agent frameworks such as LangChain and AutoGen.
- Preferred: experience building backend systems, APIs, or distributed systems.
- Preferred: familiarity with prompt engineering, RAG, or vector databases.
- Preferred: exposure to AI evaluation methods including benchmarks, metrics, and human-in-the-loop feedback.
- Preferred: experience with AWS, GCP, or Azure, or containerization using Docker and Kubernetes.
- Preferred: interest in applying AI to automation, productivity, and decision-making.
Categories
About Bot Auto
Bot Auto develops and operates Level 4 autonomous trucks, selling freight capacity as Transportation-as-a-Service to shippers rather than licensing technology. The Houston-based, privately held company (founded 2023) owns the trucks and runs end-to-end operations, pairing fleet operators with autonomy engineers to deploy long-haul routes. Its platform spans autonomy software, vehicle controls, sensors, compute, and fleet operations with a documented safety case for commercial freight service.