Agentic AI Machine Learning Engineer in Palo Alto - Prophecy

The leader in AI-native data preparation and analysis, Prophecy is revolutionizing how the world’s top enterprises turn data chaos into reliable insights. We introduce the AI-native data lifecycle (generate, refine, deploy) where our industry leading AI agents and humans work hand-in-hand in visual and document interfaces to analyze, transform and prepare data, to ship trusted insights at enterprise scale. Must-Have Skills: Hands‑on LLM/agent building (e.g., LangChain/Graph, CrewAI) and tuning to quality benchmarks. Experience with semantic search, RAG, and vector databases. Experience with prompt engineering and optimization. Agentic Use Cases: Workflow Orchestration: Automating multi‑step processes (e.g., ETL pipelines, supply chain optimization, or CRM workflows like Salesforce Agentforce). Code Generation/Assistance: Developing or debugging code autonomously (e.g., similar to Devin AI or GitHub Copilot extensions). Data Analysis/Transformation: Querying, manipulating, or analyzing data across sources (e.g., topic extraction, document analytics in vector DBs like Weaviate). Personalized Assistance: Tailoring recommendations or plans (e.g., e‑commerce, education, or finance agents). Autonomous Decision‑Making: Real‑time decisions in domains like trading or healthcare (e.g., crypto trading, medical workflow optimization). Content Creation: Generating text, art, or media (e.g., social media automation, presentation creation). Multi‑Agent Systems: Collaborative agents for simulations or transactions (e.g., policy‑constrained evaluation, machine‑to‑machine commerce). Versatile software developer: Fluency in Python, REST APIs, microservices in public cloud; some experience with Go, AWS, k8s, Java, Scala. Builder mentality: Demonstrated experience taking ideas to production. #J-18808-Ljbffr WorksHub