Junior AI Engineer

Jobtailor; Houston (TX); On-site; USD 70,000 - 100,000; Full time

Job summary

Jobtailor in Houston seeks an AI Engineer to build connectors to major systems and to extend AI agent workflows. You will implement LLM-driven components, write tests, and integrate capabilities into internal apps under guidance from the AI Engineering Director.

Required are 1–3 years of Python/TypeScript experience, API integration skills, and familiarity with LLM APIs. Local or onsite work in Texas is expected, with a focus on responsible‑AI and data governance.

Qualifications

• Bachelor’s degree in CS, Engineering, Data Science or equivalent.
• 1–3 years of professional experience with demonstrable shipped work.
• Proficiency in Python or TypeScript, and willingness to master both.
• Experience building against real APIs with authentication and error handling.
• Ability to read technical documentation.
• Hands‑on experience with LLM APIs and prompt engineering.
• Strong communication and problem‑solving abilities.
• Willingness to work with field and office personnel.
• Coachable, organized, and quick learner in a fast‑moving environment.
• Valid driver’s license and clean driving record.
• Preferred: Model Context Protocol or tool‑calling architectures.
• Preferred: React and Tailwind.
• Preferred: Docker and cloud deployment.
• Preferred: local model serving or fine‑tuning experiments.
• Preferred: experience 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.
• 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.

Skills

Python Programming

TypeScript Programming

LLM API Integration

API Development

Prompt Engineering

Test Writing

Regression Checks

Data Governance Standards

Education

Bachelor’s Degree in Computer Science

Bachelor’s Degree in Engineering

Bachelor’s Degree in Data Science

Tools

Docker

Cloud Deployment

React

Tailwind

Model Context Protocol

Job description

Responsibilities

• 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

• 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

Core Competencies

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 Programming
• TypeScript Programming
• LLM API Integration
• Code Review Participation
• Data Governance Standards

ATS Optimization Keywords

Hard Skills

• API Development
• Prompt Engineering
• Test Writing
• Regression Checks
• Performance Metrics Collection

Soft Skills

• Strong Communication
• Problem‑Solving Abilities
• Organizational Skills
• Coachability
• Quick Learning

Certifications & Qualifications

• Bachelor’s Degree in Computer Science
• Bachelor’s Degree in Engineering
• Bachelor’s Degree in Data Science

Industry Keywords

• Construction
• Heavy Equipment
• Logistics
• Industrial Operations
• AI Engineering

Tools & Technologies

• Docker
• Cloud Deployment
• React
• Tailwind
• Model Context Protocol