LLM Engineer / AI Engineer (Prompt Engineering & Laravel) NO AGENCIES - Contract to Hire
About the Role:
We’re seeking a hands-on LLM Engineer / AI Engineer with deep experience in prompt engineering and strong backend skills in PHP (Laravel). You’ll work closely with our Senior Tech Lead, product team, and leadership to integrate Large Language Models into real workflows — turning prompts into reliable, secure, and scalable features.
This role sits at the intersection of AI design, backend engineering, and production deployment.
Key Responsibilities:
Design, test, and continuously optimize prompts for Large Language Models to improve accuracy, consistency, and performance
Integrate LLMs and AI services into Laravel-based applications
Build and maintain backend APIs and services using PHP (Laravel)
Partner with product and engineering teams to ship AI-powered features into production
Deploy, monitor, and scale AI solutions using Microsoft Azure (including Azure OpenAI or related services)
Implement guardrails, logging, and monitoring for AI outputs
Ensure security, performance, and reliability of AI-enabled systems
Stay current with advancements in LLMs, prompt engineering techniques, and AI tooling
Required Skills & Qualifications:
Strong understanding of Large Language Models (LLMs) and prompt engineering strategies
Hands-on experience integrating LLMs into real applications (not just experimentation)
Proficiency in PHP with the Laravel framework
Experience deploying or operating applications in Microsoft Azure
Familiarity with REST APIs, backend services, and AI service integration
Strong problem-solving skills with attention to scalability and performance
Nice to Have:
Experience with OpenAI, Azure OpenAI, or similar AI platforms
Familiarity with cloud architecture, CI/CD, and DevOps fundamentals
Experience building or supporting AI-driven SaaS products
Exposure to healthcare, regulated environments, or data-sensitive applications
Why This Role Matters:
You’ll help define how AI actually works for us — not as a buzzword, but as a dependable, production-ready system. Your work will directly impact how users experience care, how decisions are supported, and how the platform scales responsibly.
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