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The Senior AI Engineer will design and develop end-to-end Generative AI and LLM solutions using Python, Django, React, and Azure AI Foundry. This role involves defining scalable architectures and acting as a technical reference for the company's AI and digital engineering initiatives.
Data Engineer building scalable data pipelines, ETL/ELT processes, and cloud-based data architectures (Data Warehouse, Data Lake, Lakehouse) on AWS using SQL, Python/Scala, Spark, Airflow/dbt.
Builds and scales Python-based AI pipelines and data infrastructure for production ML systems, optimizing data access and reliability.
Build and deploy AI/ML solutions end-to-end: design MLOps pipelines, automate cloud infrastructure, and operationalize models in production using Python, Docker, and cloud platforms.
Hands-on MLOps & Data Engineer maintaining and extending the Python framework and data foundation behind production ML systems, working with SQL, multiple database/storage approaches, CI/CD, and containers at a cybersecurity company.
Architect and operate production-grade agentic AI systems for identity security and access management at enterprise scale, using Python, RAG pipelines, and frontier AI SDKs.
Designs and maintains AI/ML platform infrastructure (multi-cloud, CI/CD, IaC) to empower data scientists and engineers, enabling scalable AI/GenAI solutions for developers.
Senior Data Engineer designing and building cloud-native data platforms and ETL/ELT pipelines to power enterprise AI/ML solutions across manufacturing, supply chain and finance at a global electrification company, using Python, SQL, Databricks, Spark and cloud platforms.
Leads applied AI/data science practice to build, evaluate, and deploy models for IFS Copperleaf’s AI products, focusing on explainable, defensible decisioning. Owns model lifecycle, MLOps, and AI governance while mentoring teams and shaping technical standards for forecasting, LLM tuning, and agentic systems.
About the role This is an on-site position in Abu Dhabi, UAE. We are looking for a hands-on Forward Deployed AI Engineer to build and operate production agentic AI systems within a complex operational business. You…
Onsite ML engineer in Springfield, VA designing, building, and maintaining ML systems (predictive models, recommendation engines, anomaly detection) using Python, Kubernetes, PyTorch/TensorFlow, and MLOps tooling for a national security contractor.
Senior engineer who splits time between embedding with grocery customers to deploy AI systems and building reusable platform tooling for LLMs, agents, and data pipelines.
Builds and maintains the AI and data platform that powers Afresh's grocery-focused products, focusing on retrieval, agent systems, and evaluation infrastructure for LLMs.
Senior engineer builds and operates the AI platform that turns raw grocery data into reliable context for LLMs and agent systems, including retrieval layers, evaluation harnesses, and production serving infrastructure.
Senior AI Engineer designing, building, and deploying LLM-powered applications, retrieval pipelines, and predictive models using modern backend frameworks, SQL, and cloud environments for a San Juan-based AI solutions firm.
Lead AI and full-stack development for a Singapore SME financing marketplace, building LLM-powered document analysis, credit/fraud models, and financial data pipelines using Python, modern web frameworks, and cloud platforms.
Data Engineer at Accenture España designing and implementing modern, scalable data architectures (ETL, data ingestion, data quality) for top clients using Python, PySpark, SQL/NoSQL, Big Data, and cloud technologies in a hybrid role based in Barcelona or Madrid.
Build and maintain cloud-native back-end services for maritime IT networks while integrating AI/LLM features like RAG pipelines and agentic workflows using Python and distributed systems.
Develops production-grade Python software for a quantum/AI company, focusing on compressing tools and high-value industry problems while collaborating with ML/quantum experts and DevOps engineers.
Full Stack Engineer building a scalable forecasting platform for the food processing sector, working across backend services, APIs, cloud infrastructure, and frontend applications in Dublin.
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