AI Engineer x5
Follow Aventis Solutions for more information and their channels: The AI Executive Podcast is now live online via the following:YouTubeSpotifyAmazon MusicNow, Aventis Solutions is supporting a fast-scaling US FinTech (and AI, Data & Tech) firm in Miami, Tampa Bay, and upcoming Washington, DC, in hiring 5x AI Engineers to help build production-ready AI systems and modern data platforms. These roles are in either place rather than remote across the US, with a collaborative team culture, strong engineering leadership, and a mission to bring advanced AI capabilities into real-world products.Key Details:Salary Bracket: $125,000 to $225,000 base plus performance bonuses (10%-45%) and comprehensive benefitsLocation: Miami, Tampa Bay & upcoming Washington DC within the US. Possibly Dallas, Chicago or New York later in the year too.Career Outlook: Opportunities to grow vertically up the ranks as an AI Engineer or AI Lead, or Data Engineering, or Machine Learning Engineering, LLM Staff, team leadership, business/technology strategy or architecture roles as the company expandsKey Responsibilities:Design, build, and maintain scalable data pipelines and ML infrastructure in a cloud-native environmentIntegrate AI and LLM-based solutions into production systems, working closely with software engineering and product teamsImplement CI/CD for ML workflows and manage containerised deploymentsSupport data governance, monitoring, and reliability of machine learning systemsCollaborate on applied AI use cases, from predictive analytics to generative AI integrationsTech Stacks:Languages: Python, SQL, JavaScript (Node.js/TypeScript) for APIsData Engineering: Snowflake, Databricks, dbt, Kafka, SparkMLOps and Cloud: AWS (SageMaker, S3, Lambda), Azure ML, Terraform, Kubernetes, DockerML/AI Frameworks: scikit-learn, TensorFlow, PyTorch, LangChain, OpenAI API integrationsWorkflow and Orchestration: Airflow, Prefect, MLflow, MetaflowVersion Control and CI/CD: Git, GitHub Actions, GitLab, Azure DevOpsWhat the Team is Looking For:Python programming skills for data pipelines, ML experimentation, and API integrationsExperience working in cloud environments such as AWS, GCP, or AzureFamiliarity with containerisation, microservices, and infrastructure as codeKnowledge of ML lifecycle management and deployment best practicesInterest in LLMs and generative AI tooling, with an appetite to learn and experimentGood communication skills and the ability to collaborate across engineering, product, and data science teamsRoles Overview:You will join a growing engineering team delivering real-world AI solutions. Projects span predictive models, LLM-enhanced applications, recommendation systems, and large-scale data integrations. You will help the team build robust, maintainable, production-ready AI services that deliver business value quickly.These roles are perfect for engineers who love solving complex problems, enjoy collaborating in cross-functional teams, and want to stay on the leading edge of applied AI and MLOps.If you want to work fully remotely in a company that values autonomy, learning, and high-quality engineering, this is your opportunity.Believe the hype!Interested? Please submit your CV via LinkedIn or message Billy Hall for further information.Aventis Solutions is acting on behalf of our partner.