AI Engineer - Production GenAI & Data Apps

Latitude; Miami, Northern (FL, KY); Hybrid; USD 120,000 - 250,000; Full time

Benefits offered by this job

Healthcare

Retirement benefits

Long term incentives

Job summary

Aventis Solutions is leading the AI revolution with a major focus on hospitality-related AI products and customer experiences. You will join an expanding AI and Digital Analytics function to design, build, integrate, and deploy production-grade AI solutions across the organisation.

You’ll work with data scientists, engineers, analysts, product teams, and senior technology leaders to move AI from experimentation to real-world impact, with ownership over production systems and measurable business

Qualifications

• Commercial experience building and deploying AI or machine learning applications in production.
• Hands-on experience with LLM-based applications (OpenAI, Azure OpenAI, Anthropic, Gemini) and related tooling.

Responsibilities

• Design, build, integrate, and deploy production-grade AI solutions across the organisation.
• Collaborate with data scientists, engineers, analysts, product teams and senior leaders.
• Translate ambitious AI concepts into scalable technology for hospitality and customer experience.
• Own or contribute to AI production systems with a bias for impact and reliability.

Skills

AI Engineering

Generative AI & LLMs

Python Development

Modern Software Engineering

AI Application Architecture

Data & Machine Learning

Cloud & Infrastructure

AI Evaluation & Observability

Security & Responsible AI

Product Mindset

Tools

OpenAI

Azure OpenAI

Anthropic

Gemini

Docker

Kubernetes

Job description

Aventis Solutions is leading the AI revolution with a major focus on hospitality-related AI products and customer experiences. You will join an expanding AI and Digital Analytics function to design, build, integrate, and deploy production-grade AI solutions across the organisation.

You’ll work with data scientists, engineers, analysts, product teams, and senior technology leaders to move AI from experimentation to real-world impact, with ownership over production systems and measurable business