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Senior AI Engineer, Agents & Applications
Designs, builds, and operates production-grade agentic AI applications that automate and optimize AI-factory operations across Firmus's Model-to-Grid platform. Day to day: building LLM agent orchestration, RAG pipelines, and tool integrations using Python, agent frameworks like LangGraph/LangChain, vector databases, and Kubernetes-based observability and evaluation tooling.
Senior AI Engineer , Physics AI
Senior AI Engineer building Firmus's physics-AI capability: develops, qualifies and deploys scientific-ML surrogate models (thermal, airflow, cooling, infrastructure) that speed up AI Factory design and operations. Hands-on work with Python/PyTorch on GPUs, CFD data pipelines (Ansys Fluent) and production inference services.
Assistant Vice President, AI Data Engineer (Semantic Layer)
Leads the design, build and governance of Temasek's enterprise semantic layer on Snowflake so AI agents, BI tools and analysts use consistent, trusted metrics across investment data. Hands-on with Snowflake (semantic views, Cortex), Airflow, AWS, dbt, Python and SQL while mentoring a small engineering squad.
Lead AI Data Engineer, Semantic Layer on Snowflake
Assistant Vice President / Lead AI Data Engineer at Temasek Holdings in Singapore, designing and building a governed Snowflake-based semantic layer that defines metrics, entities and relationships across portfolio and unstructured data. Day-to-day involves data pipelines (Airflow, AWS), data modeling, AI systems engineering, and mentoring engineers.
Platform Data Engineer
Data engineer building scalable ingestion and ETL pipelines (Kafka, Airflow), a public-health knowledge graph, and ML deployment infrastructure (FastAPI, Docker, AWS) for disease surveillance and pathogen genomics. Requires 2+ years of Python data-pipeline experience and comfort with genomics/public-health data formats.
Software Developer, Data Engineering
Senior data engineer at Robinhood's Toronto office who builds and maintains foundational datasets and scalable pipelines (Python, Spark, Airflow) feeding the data lake, powering analytics, experimentation, and ML across the company's financial products.
Senior Machine Learning Engineer, Relevance
Senior machine learning engineer on Airbnb's Relevance & Personalization team, building end-to-end search ranking and recommendation systems — data pipelines, feature/model innovation, low-latency serving, and experimentation — at marketplace scale. Core stack includes Python/Scala and tools like TensorFlow, PyTorch, Spark, Kafka, and Airflow. US remote eligible; base pay $200k–$235k.
Data Engineer (12 month contract)
Salary: $9,500 – $12,000 per month Job Description • Design and implement advanced data science solutions across banking domains, with a focus on automation and integration with enterprise database platforms. • Lead…
Staff Data Engineer, Core Migrations
Staff Data Engineer leads end-to-end client migrations, reverse-engineering legacy systems and building production-grade Airflow/Spark pipelines to modernize healthcare payment platforms with full data fidelity.
Senior Backend Software Engineer (AR, Spatial & AI-powered Experiences)
Backend engineer on IKEA Kreativ (Ingka Group Digital) in Amsterdam, designing and scaling Python/Django backend services and APIs for 3D/AI-powered home-furnishing experiences used by millions, working with partner engineers at Geomagical Labs in California. Mostly office-based.
Senior Lead Software Engineer - Data & AI Platform Engineer
Lead Software Engineer building a Data & AI Platform for JPMorgan Chase's Payments Technology team—designing scalable data pipelines with Spark, Airflow, Kafka, Flink, and Databricks, and leading an Agentic AI initiative for automated lakehouse operations.
Senior Lead Software Engineer - Data & AI Platform Engineer
The Lead Software Engineer will design and build scalable data and AI platforms for payments analytics, utilizing technologies like Spark, Flink, and Databricks. The role involves leading Agentic AI initiatives to automate platform operations and ensuring robust data governance and quality.
Technical Program Manager, AI Data Operations | Contract
Summary We are hiring an Engineering Program Manager (EPM) to join the Human-Centered AI (HAI) EPM team, supporting HAI Data Operations. This role will drive programs across data operations, data engineering, and…
Senior Lead Software Engineer - Data & AI Platform Engineer
We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible. As a Senior Lead Software Engineer at JPMorgan Chase, within the Commercial & Investment Banking's…
Sr. Data Engineer II, GCP/Salesforce
Joining Amex Tech means discovering and shaping your contribution to something big. Here, you can work alongside talented tech teams and build a unique career with the Powerful Backing of American Express. With a range…
Senior Data Engineer - Snowflake & dbt | Remoto México y LATAM
En DaCodes buscamos un/a Senior Data Engineer con experiencia construyendo y operando soluciones en Snowflake , capaz de convertir necesidades de negocio en datos confiables y entregas funcionales. Formarás parte de…
Senior Data Engineer II
Senior data engineer on Elsevier's Libra team within the Search and AI Platform, building an evaluation platform where subject-matter experts review AI-generated medical content. Leads design and operation of scalable data pipelines and reporting services using Python/FastAPI, Java/Spring Boot, Spark, Airflow, Snowflake, Kafka and AWS.
Senior Data Engineer II
Senior Data Engineer II in Elsevier's (RELX) Search and AI Platform, Libra team: leads design, build and operation of scalable AWS data pipelines and services for report generation supporting an SME evaluation platform for AI-generated medical content. Core stack: Python/FastAPI, Java/Spring Boot, Snowflake, Spark, Airflow, Kafka.
Data Engineer (12 month contract)
12-month contract Data Engineer role in Singapore (placed via staffing firm PERSOL), building automated end-to-end data science/ML pipelines for banking domains. Core stack: SQL (MySQL/Oracle), Python and shell scripting, ETL tools like Airflow/AWS Glue, plus exposure to Hadoop/Spark/Kafka and cloud platforms.