AI Engineers

About

Aventis Solutions is supporting a fully remote, fast-scaling US FinTech firm in hiring AI Engineers to help build production-ready AI systems and modern data platforms. The role involves designing and maintaining scalable data pipelines, integrating AI solutions, and collaborating on applied AI use cases.

Responsibilities

• Design, build, and maintain scalable data pipelines and ML infrastructure in a cloud-native environment
• Integrate AI and LLM-based solutions into production systems, working closely with software engineering and product teams
• Implement CI/CD for ML workflows and manage containerised deployments
• Support data governance, monitoring, and reliability of machine learning systems
• Collaborate on applied AI use cases, from predictive analytics to generative AI integrations

Skills

• Python programming skills for data pipelines, ML experimentation, and API integrations
• Experience working in cloud environments such as AWS, GCP, or Azure
• Familiarity with containerisation, microservices, and infrastructure as code
• Knowledge of ML lifecycle management and deployment best practices
• Interest in LLMs and generative AI tooling, with an appetite to learn and experiment
• Good communication skills and the ability to collaborate across engineering, product, and data science teams
• Data Engineers with cloud-scale experience looking to add ML or AI integrations to their work
• Machine Learning Engineers who want to productionise models and scale pipelines
• Software Engineers (Python or JavaScript) with interest in data-centric AI products
• Cloud or DevOps Engineers with MLOps experience
• AI Engineers with applied experience in LLM integrations or agentic frameworks

Benefits

• Performance bonuses
• Comprehensive benefits

Company Overview

The AI Executive Podcast is now live, exclusively at YouTube, Spotify and Amazon. It was founded in 2025, and is headquartered in London, GB, with a workforce of 11-50 employees. Its website is