About Prophecy
About the role
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: Hands-on experience building and deploying agents in at least one of the following scenarios: o Workflow Orchestration: Automating multi-step processes (e.g., ETL pipelines, supply chain optimization, or CRM workflows like Salesforce Agentforce). o Code Generation/Assistance: Developing or debugging code autonomously (e.g., similar to Devin AI or GitHub Copilot extensions). o Data Analysis/Transformation: Querying, manipulating, or analyzing data across sources (e.g., topic extraction, document analytics in vector DBs like Weaviate). o Personalized Assistance: Tailoring recommendations or plans (e.g., e- commerce, education, or finance agents). o Autonomous Decision-Making: Real-time decisions in domains like trading or healthcare (e.g., crypto trading, medical workflow optimization). o Content Creation: Generating text, art, or media (e.g., social media automation, presentation creation). o 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.
Responsibilities
Requirements
- Hands-on LLM/agent building (e.g., LangChain/Graph, CrewAI) and tuning to quality
- Experience with semantic search, RAG, and vector databases.
- Experience with prompt engineering and optimization
- Agentic Use Cases: Hands-on experience building and deploying agents in at least one
- Versatile software developer: fluency in Python, REST APIs, microservices in public
- Builder mentality: Demonstrated experience taking ideas to production.
