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Builds and maintains an AI/context platform for healthcare, focusing on unstructured data pipelines, embeddings, retrieval, and semantic layers to accelerate AI-driven product innovation.
Build the shared AI platform layer that lets Oyster teams develop, deploy, and operate secure, production-grade AI applications using LLMs, RAG, agents, and workflows on AWS/Snowflake.
At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just…
Lead the design and deployment of AI systems (LLMs, computer vision, voice AI) to improve EV-charging analytics, customer support, and automation for ChargePoint’s global network.
Embed with enterprise customers to deploy, customize, and troubleshoot a developer-focused platform, using AI tools to accelerate delivery and advise CIOs on technical fit.
Company Description Farther is a rapidly growing RIA that combines expert advisors with cutting-edge technology - delivering a comprehensive, tailored wealth management experience. Farther’s founders are leaders and…
Design and implement secure, governed AI search and summarization solutions for VA healthcare using LLMs, RAG, and AWS services while ensuring compliance with Federal AI and cybersecurity standards.
VetsEZ is seeking a Senior AI Application Engineer to design, develop, and implement enterprise Artificial Intelligence (AI) solutions supporting the Department of Veterans Affairs (VA). The initial assignment will…
Builds and scales the core infrastructure for AI platforms at Databricks, including MLflow, AI Gateway, and model serving systems, using Scala, Go, or Python.
Designs and scales Databricks' next-generation AI-powered search platform, combining vector, keyword, and hybrid retrieval to power enterprise knowledge management and AI applications.
Builds and scales the unified API layer for large language models at Databricks, enabling real-time and batch inference for enterprise customers using partner and self-hosted models.
Build and scale LLM inference infrastructure for enterprise AI workloads, enabling customers to serve and optimize frontier models with high reliability and performance.
Build and scale the backend infrastructure that powers Databricks’ AI platform, including MLflow, model serving, and vector search, using Scala, Go, or Python.
Senior engineer builds and tunes hybrid search systems that power both human users and AI agents, blending keyword and vector retrieval with relevance metrics like nDCG and MRR.
Builds and optimizes search systems that power both AI agents and human users, focusing on hybrid retrieval, ranking models, and relevance metrics using Lucene/Elasticsearch and embeddings.
Senior role troubleshooting and optimizing GenAI/ML workloads on Databricks, advising customers on AI agents, vector search, and model serving while collaborating with engineering teams.
Leads the technical vision for Databricks' search ranking, relevance, and evaluation systems, blending keyword, vector, and hybrid retrieval to improve enterprise AI applications.
Customer analytics / recommendation engines AWS Data & AI Engineering (Hands-on) Role Summary We are seeking a Senior Data & AI Presales Engineer to act as a Forward Deployed Engineer (FDE) —working directly…
Customer analytics / recommendation engines AWS Data & AI Engineering (Hands-on) Data Engineering We are seeking a Senior Data & AI Presales Engineer to act as a Forward Deployed Engineer (FDE)—working directly…
Designs enterprise data models and shared definitions to align business concepts across Ashley Furniture’s Smart Factories, enabling trusted AI and analytics.
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