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Design and own secure, scalable services Guide technical decisions and evaluate trade-offs including AI-driven components Leverage AI tools to accelerate coding, debugging, testing, and prototyping Rigorously validate…
Join a collaborative, high-performing engineering team where your ideas, technical expertise and passion for innovation can make a real impact. You'll become part of a well-established team of nine, including…
AI Product Manager designs and delivers AI-powered financial consulting tools for private equity clients, translating complex finance problems into technical requirements using agentic AI, RAG pipelines, and sprint-based delivery.
Design and implement agentic AI systems using frameworks like AutoGen, LangGraph, and CrewAI, with emphasis on prompt engineering and multi-agent architectures, in an onsite role in Warren, NJ.
The Senior Product Manager will lead the strategy and lifecycle for Google's Enterprise Data Governance initiatives, transforming data infrastructure into an AI-ready semantic engine. This role involves cross-functional collaboration to build high-integrity data products that support autonomous workflows and enterprise-wide data standards.
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…
AI Architect responsible for designing and governing the end-to-end LLM Intelligence Engine architecture (RAG, agents, vector DBs) for a logistics/supply chain group, coordinating with hyperscalers and vendors to ensure scalable, cost-efficient AI foundations.
Develops and enhances enterprise ERP web applications with AI-assisted features, integrating AI tools like Azure OpenAI and coding assistants to improve business operations and automation in manufacturing.
Build and deploy AI agents that automate financial workflows like variance analysis and forecasting for CFOs, integrating with EPM/CPM systems using Python and LLM frameworks.
Data Solutions Engineer at Standard Metrics builds and supports AI-driven financial data integrations and workflows for investors, combining technical work with customer collaboration.
Product Manager owning the conversational AI roadmap (chatbots and voicebots) at MyOperator, writing specs for LLM/RAG-powered systems, defining eval frameworks, and making model-selection tradeoff decisions.
Senior backend engineer in Colombia building AI-powered sales intelligence tools for GoDaddy, using Java, TypeScript, Salesforce, and cloud platforms.
Designs and leads enterprise-scale AI/ML and Generative AI solutions, focusing on LLMs, RAG architectures, and cloud-based deployments while mentoring teams and ensuring governance.
Senior Business Analyst connecting business stakeholders with technical teams in a large enterprise Salesforce Service Cloud environment—translating business needs into user stories, functional specs, and process maps while coordinating UAT and Agile delivery.
Principal Software Engineer at an AI-first venture studio, shaping and building new AI-native full-stack web products from zero to one alongside designers and product strategists, using TypeScript, React, Node.js, PostgreSQL, and foundation model APIs.
Designs and builds enterprise-scale Agentic AI platforms for autonomous AI agent development, deployment, monitoring, and governance using Azure AI, LangChain, and Python.
Senior Solution Engineer at Boomi provides pre-sales technical support, designs integration and AI solutions, and delivers demos to help customers adopt the Boomi platform.
Builds and maintains data pipelines in Snowflake, creates Power BI dashboards, and designs AI agents to automate talent acquisition workflows using SQL, APIs, and LLMs like Claude.
Design, build, and maintain AI agents and RAG pipelines using LLMs (Claude, OpenAI, Bedrock), Python (Django/FastAPI), vector databases, and AWS for a remote data consultancy.
The Senior AI/ML Engineer will design and deploy enterprise-scale AI systems, including intelligent agents and copilots, using Python, LLMs, and RAG architectures. The role focuses on building scalable, production-grade AI services within a cloud-native environment.
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