Software Engineer – GenAI / Java / Python
Role summary
Cloud Resources is seeking a Software Engineer specializing in Generative AI (GenAI), Java, and Python to drive enterprise-wide adoption of AI. This role involves evaluating and implementing AI tools and agents, building internal applications, and establishing best engineering practices. You will develop and maintain AI-driven systems, including AI Agents and MCP servers, and implement modern software engineering practices like CI/CD and secure coding. Collaboration with engineering, architecture, and cybersecurity teams is essential to ensure secure and scalable AI solutions. The position offers remote flexibility and focuses on outcomes.
# Build theFuture of Enterprise AI
Join a team that builds production AI platforms, deploys ML models at scale, and creates autonomous systems that transform how enterprises operate.
## Why Cloud Resources
We're not just another consulting firm. We build products.
### Health & Wellness
Comprehensive medical, dental, and vision coverage for you and your family.
### Learning Budget
Annual budget for conferences, courses, certifications, and books.
### Remote Flexibility
Work from anywhere with flexible hours. We focus on outcomes, not hours.
### Cutting-Edge Work
Work with GPT-4o, reinforcement learning, multi-agent systems, and enterprise AI.
Full-time
### Software Engineer – GenAI / Java / Python
AIIrving,TX
We are seeking a highly experienced Software Engineer to drive Generative AI (GenAI) adoption across the enterprise. You will work closely with engineering teams to evaluate, implement, and scale modern AI development tools, AI agents, and emerging platform capabilities. This role involves building internal applications, enabling automation, and shaping best‑in‑class engineering practices. Key Responsibilities Design, integrate, and enable GenAI capabilities across the enterprise development ecosystem. Evaluate emerging GenAI tools and frameworks, perform hands-on validation, and drive enterprise‑grade adoption. Build, integrate, and maintain AI-driven systems including AI Agents and MCP (Model Context Protocol) servers. Develop and support internal engineering tools, applications, and platforms. Implement modern software engineering practices including automated testing, CI/CD, secure coding, and progressive release strategies. Collaborate with cross-functional engineering, architecture, and cybersecurity teams to ensure secure and scalable AI solutions.
GenAI .JavaPythonGCP