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The AI/ML Engineer will design and build generative AI solutions, including RAG and agentic frameworks, using Python. This is a hybrid role based in Phoenix requiring collaboration with cross-functional teams to ensure secure and scalable AI delivery.
Builds explainable AI models (NLP, LLMs, retrieval systems) to analyze trillions of daily signals, enabling GTM teams to act on account insights via RevvyAI and APIs. Owns end-to-end ML pipelines, collaborates with product/GTM, and mentors engineers.
Senior back-end engineer leading technical strategy for Coupang Eats, designing scalable systems for food delivery, customer experience, and delivery optimization in a Java/AWS environment.
Senior back-end engineer leading the technical vision and execution for Coupang Eats, optimizing scalable systems for food delivery, merchant management, and delivery operations to enhance customer and partner experiences.
Parachute Health is transforming post-acute care as the leading digital ordering platform for medical equipment and supplies. We connect major health systems, health plans, and suppliers to help patients get the…
Builds AI-powered full-stack applications by integrating machine learning models with front-end interfaces and APIs, focusing on seamless user experiences and scalable back-end systems.
Senior Test Engineer designing AI-first quality engineering frameworks using Playwright, TypeScript, and AI agents to automate testing, ensure data integrity, and mentor teams on responsible AI adoption in clinical trial software.
Design and deploy enterprise-grade data pipelines and generative AI solutions on Azure, integrating Azure OpenAI and RAG to enhance investment decision-making and operational efficiency.
Lenovo is seeking a Finance AI Full Stack Engineer to design and deploy enterprise-grade AI solutions using LLMs, RAG, and multi-agent systems. The role involves building end-to-end applications, integrating with ERP systems, and optimizing AI performance for finance-related workflows.
Build and orchestrate autonomous AI agents in Azure and Claude to automate software pipelines and deliver enterprise-grade AI-native solutions.
Leads hands-on software engineering for a global professional services client, designing AI-powered enterprise systems, mentoring engineers, and integrating modern cloud/AI tools into production.
Lead AI-driven full-stack development for a product company, owning backend (Node.js, Python), frontend (React/Next.js), and AI integrations (LLMs, RAG pipelines). Architect scalable systems, mentor engineers, and champion AI coding tools.
Designs and deploys AI-driven automation solutions to streamline workflows across engineering, operations, and business teams at a fusion energy startup, leveraging LLMs, cloud infrastructure, and agentic systems.
Owns end-to-end development of chatbot/voicebot solutions using LLMs, NLU, and agentic AI, from prompt engineering to system integration, optimization, and safeguarding for enterprise clients.
Builds and deploys production-grade agentic AI systems (Python/React) for enterprise clients, focusing on agent workflows, RAG pipelines, and MCP integrations while maintaining DevOps/AgentOps practices.
This senior fullstack role involves building and scaling web applications and production-grade LLM/RAG solutions using Node.js and Vue.js. The developer will own end-to-end architecture, including API design, RAG pipeline development, and AI workflow orchestration.
Build and govern Power BI dashboards and semantic models to standardize reporting across SROA’s self-storage business, while partnering with teams to define metrics and validate data quality.
Builds and optimizes LLM-powered autonomous agents, focusing on prompt engineering, orchestration, and cloud-native deployment with Python and AWS.
Deploys and integrates Google’s generative AI systems (e.g., Gemini, Vertex AI) into enterprise environments, resolving integration/data/state issues to ensure production-grade AI workflows. Bridges customer needs with Google Cloud’s product roadmap via field insights and best-practice collaboration.
Designs and builds AI-driven platform services on AWS, translating research into production-grade solutions for governance, risk, and compliance (GRC) data. Focuses on serverless, scalable, and observable systems while collaborating with AI researchers and product teams.
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