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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.
Oversees model risk management for Upstart’s AI-driven lending platform, ensuring compliance, fairness, and reliability of ML/GenAI models across credit and operational domains. Evaluates methodologies, documentation, and governance while collaborating with teams to mitigate risks and translate technical findings for stakeholders.
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.
Builds AI-driven automation systems and production-grade Python software for NBCUniversal’s advertising data collaboration platform, focusing on agentic workflows, clean room capabilities, and scalable audience/measurement tools.
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…
Leads ROCm software validation for AMD’s AI/ML GPU platforms, defining test strategies, infrastructure, and release gates for multi-GPU/server workloads (e.g., LLMs, HPC). Owns end-to-end validation, debugs complex failures, and mentors engineers.
Leads AI-driven healthcare projects for the VA, delivering Generative AI search and summarization tools for clinicians using RAG, LLMs, and AWS Bedrock while managing Agile teams and Federal compliance.
Builds and maintains Python-based applications for clients, focusing on REST APIs, microservices, and AI/ML integrations while collaborating with teams to deliver scalable solutions.
Build AI-powered tools and integrations for a fintech platform that connects systems and automates workflows for private market investments.
Leads AI-powered SaaS development, designing and implementing advanced AI systems (semantic search, RAG, vector databases) while mentoring engineers and driving technical innovation in a high-security, compliance-focused environment.
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 intuitive, scalable AI-driven interfaces and workflows for Databricks' platform, leveraging generative AI and modern web technologies in a startup-like NYC team.
Designs and deploys GenAI models and systems for Databricks’ AI-powered products like Assistant and AI/BI Genie, focusing on LLM quality and scalable ML pipelines.
Designs and scales Databricks' next-generation AI-powered search platform, combining vector, keyword, and hybrid retrieval to power enterprise knowledge management and AI applications.
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.
Leads the technical vision for Databricks' search ranking, relevance, and evaluation systems, blending keyword, vector, and hybrid retrieval to improve enterprise AI applications.
Senior Fullstack Developer builds and maintains enterprise-grade document/data management software, designing APIs (GraphQL/REST), optimizing MSSQL databases, and developing React interfaces for financial process automation.
Build and own fullstack features for an enterprise document-management platform using .NET, MSSQL, GraphQL, and React in a regulated, multi-tenant environment.
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