[Remote] AI Engineer x3
Note: The job is a remote job and is open to candidates in USA. 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
ā¢ Design, build, and maintain scalable data pipelines and ML infrastructure in a cloud-native environment
ā¢ Integrate AI and LLM-based solutions into production systems, working closely with software engineering and product teams
ā¢ Implement CI/CD for ML workflows and manage containerised deployments
ā¢ Support data governance, monitoring, and reliability of machine learning systems
ā¢ Collaborate on applied AI use cases, from predictive analytics to generative AI integrations
Skills
ā¢ Python programming skills for data pipelines, ML experimentation, and API integrations
ā¢ Experience working in cloud environments such as AWS, GCP, or Azure
ā¢ Familiarity with containerisation, microservices, and infrastructure as code
ā¢ Knowledge of ML lifecycle management and deployment best practices
ā¢ Interest in LLMs and generative AI tooling, with an appetite to learn and experiment
ā¢ Good communication skills and the ability to collaborate across engineering, product, and data science teams
ā¢ Data Engineers with cloud-scale experience looking to add ML or AI integrations to their work
ā¢ Machine Learning Engineers who want to productionise models and scale pipelines
ā¢ Software Engineers (Python or JavaScript) with interest in data-centric AI products
ā¢ Cloud or DevOps Engineers with MLOps experience
ā¢ AI Engineers with applied experience in LLM integrations or agentic frameworks
Benefits
ā¢ Performance bonuses
ā¢ Comprehensive benefits
Company Overview
ā¢ 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 https://www.aventissolutions.co.uk.
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Responsibilities
ā¢ Design, build, and maintain scalable data pipelines and ML infrastructure in a cloud-native environment
ā¢ Integrate AI and LLM-based solutions into production systems, working closely with software engineering and product teams
ā¢ Implement CI/CD for ML workflows and manage containerised deployments
ā¢ Support data governance, monitoring, and reliability of machine learning systems
ā¢ Collaborate on applied AI use cases, from predictive analytics to generative AI integrations
Skills
ā¢ Python programming skills for data pipelines, ML experimentation, and API integrations
ā¢ Experience working in cloud environments such as AWS, GCP, or Azure
ā¢ Familiarity with containerisation, microservices, and infrastructure as code
ā¢ Knowledge of ML lifecycle management and deployment best practices
ā¢ Interest in LLMs and generative AI tooling, with an appetite to learn and experiment
ā¢ Good communication skills and the ability to collaborate across engineering, product, and data science teams
ā¢ Data Engineers with cloud-scale experience looking to add ML or AI integrations to their work
ā¢ Machine Learning Engineers who want to productionise models and scale pipelines
ā¢ Software Engineers (Python or JavaScript) with interest in data-centric AI products
ā¢ Cloud or DevOps Engineers with MLOps experience
ā¢ AI Engineers with applied experience in LLM integrations or agentic frameworks
Benefits
ā¢ Performance bonuses
ā¢ Comprehensive benefits
Company Overview
ā¢ 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 https://www.aventissolutions.co.uk.
Apply tot his job
Apply To this Job