Junior AI Engineer

Bigge Crane and Rigging Co.

Junior AI Engineer building MCP connectors, AI agents, and LLM integrations for Bigge Crane and Rigging’s crane operations. Testing agentic workflows and supporting AI solutions across fleet, sales, scheduling, and documents.

Posted 8/13/2026full-timeHouston • Texas • 🇺🇸 United StatesJuniorWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates proficiency in Python and TypeScript, with hands-on experience in LLM APIs and prompt engineering. Capable of building and extending connectors against various systems while adhering to responsible-AI practices and IT security requirements.

Highest-signal resume keywords

Python ProgrammingTypeScript ProgrammingLLM API IntegrationCode Review ParticipationData Governance Standards

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

API DevelopmentPrompt EngineeringTest WritingRegression ChecksPerformance Metrics Collection

Soft Skills

Strong CommunicationProblem-Solving AbilitiesOrganizational SkillsCoachabilityQuick Learning

Tools & Technologies

DockerCloud DeploymentReactTailwindModel Context Protocol

Certifications & Qualifications

Bachelor’s Degree in Computer ScienceBachelor’s Degree in EngineeringBachelor’s Degree in Data Science

Industry Keywords

ConstructionHeavy EquipmentLogisticsIndustrial OperationsAI Engineering

Tech Stack

Tools & technologies

CloudDockerPythonReactTypeScript

About the role

Key responsibilities & impact

Build and extend MCP connectors against Bigge systems of record, including WorkPro, D365, and Microsoft 365
Implement components of AI agents and agentic workflows designed with the Director of AI Engineering
Write and maintain tests, evaluation sets, and regression checks before systems ship and after every change
Integrate LLM capability into internal applications and APIs under direction
Attend process discovery sessions with business units 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

Requirements

What you’ll need

Bachelor’s degree in Computer Science, Engineering, Data Science, or equivalent experience
1 to 3 years of professional experience, with shipped work that can be demonstrated
Working proficiency in Python or TypeScript, with willingness to become proficient in both
Experience building against real APIs, including authentication and error handling
Ability to read technical documentation
Hands-on experience with LLM APIs and prompt engineering through work, coursework, or personal projects
Strong communication and problem-solving abilities
Willingness to work directly with field and office personnel
Coachable, organized, and able to learn quickly in a fast-moving environment
Current valid driver’s license and clean driving record
Preferred: exposure to Model Context Protocol or other tool-calling architectures
Preferred: React and Tailwind
Preferred: Docker and cloud deployment
Preferred: local model serving or fine-tuning experiments
Preferred: prior work or internship in construction, heavy equipment, logistics, or industrial operations

Benefits

Comp & perks

Competitive pay
Matching 401(k) plan
Vacation
Company holidays
Sick days
Flexible spending accounts/Health Savings Account reimbursement plan
Bring Your Own Device (BYOD) policy