Senior AI Engineer - Production GenAI, Remote/Hybrid

Aventis Solutions; Miami (FL); Hybrid; USD 120,000 - 250,000; Full time

Job summary

Aventis Solutions is seeking an experienced AI Engineer to design, build, and deploy production-grade AI solutions across the organisation. You will work with data scientists, engineers, analysts, and product teams to scale AI concepts into reliable technology.

You'll focus on generative AI, LLMs, data pipelines, and enterprise integrations, ensuring security, observability, and business value. Remote/hybrid options with hub choices empower flexible collaboration.

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, etc.).
• Strong Python engineering skills with APIs, data pipelines, or ML systems.
• Understanding how to connect models to enterprise data and business workflows.
• Solid grasp of data structures, feature engineering, model evaluation, and analytics workflows.
• Experience with AWS, Azure, GCP or cloud environments; Docker/Kubernetes, CI/CD, or serverless tech is a plus.
• Knowledge of AI evaluation, latency, cost, monitoring and continuous improvement.
• Awareness of data security, privacy, access controls, and responsible AI.
• Product-minded: evaluate what should be built and how success is measured.

Responsibilities

• Design, build, and deploy production-grade AI solutions across the organisation.
• Collaborate with data scientists, engineers, analysts, and product teams to deliver AI projects.
• Turn ambitious AI concepts into scalable technology that works in the real world.
• Own production systems and ensure reliable, secure AI deployments across functions.

Skills

AI Engineering

Generative AI & LLMs

Python Development

AI Application Architecture

Data & ML

Cloud & Infrastructure

AI Evaluation & Observability

Security & Responsible AI

Product Mindset

Job description

Aventis Solutions is seeking an experienced AI Engineer to design, build, and deploy production-grade AI solutions across the organisation. You will work with data scientists, engineers, analysts, and product teams to scale AI concepts into reliable technology.

You'll focus on generative AI, LLMs, data pipelines, and enterprise integrations, ensuring security, observability, and business value. Remote/hybrid options with hub choices empower flexible collaboration.