Senior AI & Full-Stack Engineer, Enterprise

PURIS Corp

The Woodlands (TX)

Hybrid

USD 120,000 - 180,000

Full time

14 days+
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Job summary

PURIS Corp is seeking an experienced AI Software Developer to design, deliver, and own complex enterprise AI-enabled applications in Woodlands, TX. The role focuses on full-stack development, data engineering, and building scalable AI systems, including LLM-based platforms and document processing.

You will drive architectural decisions, mentor teammates, and ensure production readiness, reliability, and auditability across projects spanning field operations, pricing, safety, and compliance.

Qualifications

  • Bachelor's degree or equivalent practical experience in CS/Engineering/Data Science.
  • 8+ years in software/data/ML/AI system development across production environments.
  • Strong full-stack capabilities with Python/TypeScript/C# and SQL, APIs, testing, and design.
  • Experience building offline-first/mobile-ready enterprise apps and data pipelines.

Responsibilities

  • Designs and owns end-to-end enterprise AI solutions and applications.
  • Builds offline-capable mobile and web apps for remote environments with sync.
  • Develops systems supporting field ops, pricing, safety, and compliance.
  • Creates AI workflows, LLM-based apps, and retrieval augmented generation platforms.
  • Ensures production readiness, security, auditing, and data integrity.

Skills

Full stack
Python
TypeScript
C#
SQL
APIs
System design
Mobile development
LLM systems
AI orchestration
Data platforms
ERP integration

Education

Bachelor's degree in Computer Science or related field

Tools

Snowflake
Databricks
Amazon Redshift
Microsoft Fabric / Synapse

Job description

PURIS Corp is seeking an experienced AI Software Developer to design, deliver, and own complex enterprise AI-enabled applications in Woodlands, TX. The role focuses on full-stack development, data engineering, and building scalable AI systems, including LLM-based platforms and document processing.

You will drive architectural decisions, mentor teammates, and ensure production readiness, reliability, and auditability across projects spanning field operations, pricing, safety, and compliance.

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