Junior AI Engineer

Bigge Crane and Rigging•Houston, TX

About The Position

Bigge Crane and Rigging is an AI-first company with a dedicated AI Engineering department. They are looking for a Junior AI Engineer to develop and ship AI solutions. This role involves contributing to MCP connectors, building AI agents and workflows, and writing tests and evaluations. The company emphasizes building custom solutions for their needs and offers a dynamic environment where individual contributions are recognized. This position is part of a growth ladder, with the expectation of advancing to an AI Engineer role. The ideal candidate is technically capable, curious, and coachable, willing to work closely with senior AI team members.

Requirements

Bachelor’s degree in Computer Science, Engineering, Data Science, or equivalent experience.
1 to 3 years of professional experience, with shipped work you can show us: a deployed project, a production contribution, a working system you built.
Working proficiency in Python or TypeScript, and willingness to become proficient in both.
Experience building against real APIs: authentication, error handling, and reading documentation that is sometimes wrong.
Hands-on experience with LLM APIs and prompt engineering, through work, coursework, or personal projects.
Strong communication and problem-solving abilities, with the willingness to work directly with field and office personnel.
Coachable, organized, and able to learn quickly in a fast-moving environment.
Have a current valid driver’s license along with a clean driving record.

Nice To Haves

Exposure to the Model Context Protocol or other tool-calling architectures.
js, React, and Tailwind.
Docker and cloud deployment of any kind.
Local model serving or fine-tuning experiments, at any scale.
Prior work or internship in construction, heavy equipment, logistics, or industrial operations.

Responsibilities

Build and extend MCP connectors against Bigge systems of record, including WorkPro, D365, and Microsoft 365, under established patterns and review.
Implement components of AI agents and agentic workflows designed with the Director of AI Engineering.
Write and maintain tests, evaluation sets, and regression checks for systems before they ship and after every change.
Integrate LLM capability into internal applications and APIs under direction.
Attend process discovery sessions with business units to observe workflow mapping and contribute to process documentation.
Assist in collecting performance baselines and metrics for departmental initiatives.
Adhere to responsible-AI practices, data governance standards, and IT security requirements.
Write clean, tested, documented code. Participate in code review as author and grow into reviewing others.