AI engineering roles building LLM and generative-AI powered products.
The future of defense will be decided by those who field intelligent machines at scale. At Scout AI, we’re developing Fury, the first robotic foundation model for defense, to give U.S. forces overwhelming, adaptable, an…
The Chan Zuckerberg Initiative was founded in 2015 by Priscilla Chan and Mark Zuckerberg to harness the power of technology to pursue some of society’s most ambitious goals — from curing or preventing all disease to tra…
Quantifi is a leading provider of analytics, trading, and risk management solutions for the global financial industry. For over two decades, we have partnered with banks, asset managers, hedge funds, and other financial…
About the Team GTM Growth Engineering builds AI-native products that help OpenAI's go-to-market and B2B marketing organizations scale with greater speed, intelligence, and operational effectiveness. We apply OpenAI…
We are Kubikware™ , a digital agency with 20+ years of experience designing and developing web and mobile platforms, as well as video games, AR/VR apps, and AI/ML. We are headquartered in Miami, FL with a strong South A…
Build and deploy cutting-edge GenAI applications for customers, advising on AI solutions using tools like LangChain and PyTorch, while collaborating with cross-functional teams.
Builds and maintains finance data pipelines and AI tools on the Databricks platform to support accounting, reporting, and financial workflows for a global SaaS company.
Leads the architecture and development of finance data pipelines, AI systems, and internal applications for Databricks' Finance organization, using Databricks platform and SQL/Python.
Build and deploy cutting-edge GenAI applications for customers, advising on AI solutions and collaborating with cross-functional teams using tools like LangChain and PyTorch.
Senior AI engineer deploys and advises on cutting-edge GenAI solutions for U.S. federal clients, integrating Databricks AI research with production tools like LangChain and PyTorch.
AI Forward Deployed Engineers at Databricks deliver customer-facing GenAI engagements, building production AI applications using RAG, multi-agent systems, and LLMOps techniques. Day-to-day involves collaborating with customers as a technical advisor, rolling out GenAI solutions, and influencing product roadmap—working with tools like LangChain, HuggingFace, DSPy, and Spark.
Senior Staff Applied AI Engineer at Databricks builds and owns the retrieval stack and search subagents for AI agents, enabling context retrieval across enterprise SaaS data using IR, RAG, and agentic systems.
Builds and deploys cutting-edge GenAI solutions for customers, advising on AI applications and collaborating with cross-functional teams using tools like LangChain and PyTorch.
Senior Solutions Architect at Databricks designs and advises on end-to-end data and AI solutions, focusing on GenAI, LLMs, and ML, while engaging with customers and guiding technical teams.
Design and optimize the inference engine powering Databricks' GenAI models, focusing on performance, scalability, and hardware efficiency across GPUs and accelerators.
Lead the architecture and optimization of Databricks' GenAI inference engine, focusing on high-throughput, low-latency LLM serving across GPUs and accelerators.
Designs and optimizes low-level GPU kernels for AI inference, focusing on performance, correctness, and hardware efficiency while mentoring engineers and collaborating with ML teams.
Senior AI engineer at Databricks builds and deploys machine learning models to improve AutoML and other products, focusing on classification, forecasting, and recommendations using classical and deep learning techniques.