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About Exponent Exponent is the only premium engineering and scientific consulting firm with the depth and breadth of expertise to solve our clients’ most profoundly unique, unprecedented, and urgent challenges. Our…
Architect and build the distributed platform that powers AI agents in production, including orchestration, memory, tool calling, and workflow coordination for enterprise environments.
Lead Data Engineer owning the architecture, scalability, and technical direction of Amtech's Cloud Data Platform—designing data warehouses, ETL/ELT pipelines, tenant data stores, and feature stores that power analytics and AI agent initiatives using cloud platforms (AWS/Azure/GCP), big data frameworks (Spark, Kafka), and warehousing tools (Snowflake/Redshift/BigQuery).
Senior Data Scientist applying advanced analytics, machine learning, and generative AI (LLMs, RAG pipelines, vector databases) to Medicare/Medicaid claims data to detect fraud, waste, and abuse.
Designs and implements generative AI and agentic systems for enterprise clients, focusing on LLM-powered workflows, tool integration, and reusable architectures.
Build and maintain data pipelines, storage (including vector databases), and a metrics layer to power AI agents for customer support data, using big data tools, Python/PySpark, and cloud data warehouses.
GCP Data Engineer building scalable batch and real-time data pipelines on Google Cloud Platform, supporting AI/ML and analytics use cases with BigQuery, Dataflow, Python, and SQL.
Data Engineer building scalable data pipelines for NLP and LLM applications using Python, Apache Spark, and vector databases at an AI product company.
Build and maintain an existing PHP backend while developing AI agents, RAG systems, and LLM integrations in Python for a SaaS product.
Python backend developer building production-grade Agentic AI/LLM applications using RAG, LangGraph/LangChain, and cloud platforms (Azure/AWS) for UST in Bangalore.
The Senior AI Data Engineer will build Agentic AI pipelines for trading surveillance, focusing on converting Q KDB code to Pyspark. The role involves developing RAG systems, managing vector databases, and implementing full-stack AI integrations.
Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a…
Design and implement security controls for AI/ML systems, embedding guardrails against data leakage and model risks while guiding engineering teams on secure MLOps/LLMOps practices.
Lead the design and architecture of large-scale, cloud-native data systems at JPMorgan Chase, defining standards for databases, AI/ML integration, and AI-assisted engineering practices while guiding teams and senior leadership.
Build and deploy AI solutions for a medical spa, focusing on customer insights, marketing, and business reporting using Python, LLMs, and cloud services.
Build and maintain AI-powered software development tools and agents for a large U.S. bank, using Python, React, and Azure AI services to enhance developer productivity.
Designs, builds, and scales enterprise-grade generative AI applications using LLMs, RAG, and Agentic AI on Microsoft Azure, integrating multiple data sources and ensuring reliability and governance.
Designs and builds AI/ML-powered automation solutions, including RAG pipelines, vector databases, and agentic workflows, while improving CI/CD and DevOps processes for Nokia’s products.
Build and own AI agent solutions that reinvent how Pearson’s workforce operates, turning concepts into adopted tools that empower learning at scale.
Outside Sales Product Specialist - Data Management At Dell Technologies, we create the extraordinary. Our Outside Sales Product Specialists are the experts who sell innovation to the world. Responsible for a set of…
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