AI SaaS Engineer

• Location: Deer Park, Texas (On site position)
• Employment Type: Full-Time
• Work Arrangement: On-Site

Overview

We are seeking an AI SaaS Engineer to develop, maintain, and extend the STOlogix suite of SaaS products (STOplanner, STOcost, STOcomm) — and to build AI capabilities directly into them. This is hands‑on SaaS software development: keeping our existing, live products stable and evolving, shipping new features, and embedding AI into the product itself, from AI‑assisted KPIs and reporting to LLM‑powered features. This is also a lead role: you will help bring STOlogix development in‑house, own the transition from our current offshore team, and set the workflow and standards the group runs on. We move fast with AI‑powered tools and value throughput, sound judgment, and careful validation.

Key Responsibilities

• Develop, maintain, and enhance the STOlogix SaaS suite (STOplanner, STOcost, STOcomm) across the stack
• Keep the existing, live products stable — bug fixes, performance, reliability, and technical debt
• Build AI capabilities into the products: AI‑assisted KPIs and reporting, and LLM‑powered features within the SaaS itself
• Ship new features end to end, from requirements through deployment
• Integrate with STOlogix data via API to power reports, KPIs, and in‑product insights
• Lead the transition of STOlogix development in‑house, including structured knowledge transfer from the current offshore team
• Establish and own the in‑house development workflow, code‑review standards, and delivery metrics
• Own maintenance and troubleshooting of the STOlogix suite, including user training and support ticket resolution
• Help hire, mentor, and direct additional developers as the team grows
• Coordinate with the current offshore team through the transition period

Required Skills

• Full‑stack SaaS development — building and maintaining production web applications
• Proficiency in a modern web stack (e.g., React / TypeScript front‑end, REST APIs, SQL databases)
• Experience maintaining and evolving already‑built SaaS products, not just greenfield builds
• Hands‑on experience incorporating AI / LLMs into software products (model APIs, prompt design, AI‑assistant features)
• Strong SQL and experience integrating with API‑based data sources
• Hands‑on, day‑to‑day use of AI coding tools to generate and refine code
• Ability to own delivery, set engineering standards, and communicate across technical and business teams
• Strong data validation and problem‑solving skills

Experience & Education

• 3–8+ years in SaaS / software engineering roles, including maintaining production applications
• Demonstrated experience building AI / LLM‑powered features into products
• Experience leading delivery or owning a codebase — ideally through a team or vendor transition
• Bachelor’s degree or equivalent practical experience

Preferred Industry Experience

• Project Controls / Scheduling
• Turnarounds, Industrial, or Petrochemical Environments