Agentic AI Machine Learning Engineer in Palo Alto - Prophecy
WorksHub, Palo Alto, CA, United States
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.
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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