Agentic AI Machine Learning Engineer

The leader in AI-native data preparation and analysis, Prophecy is revolutionizing how theworld’s top enterprises turn data chaos into reliable insights. We introduce the AI-native datalifecycle (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 shiptrusted insights at enterprise scale.

• Hands-on LLM/agent building (e.g., Lang Chain/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 oneof the following scenarios:
  • 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 Git Hub Copilot extensions).
  • Data Analysis/Transformation:
    Querying, manipulating, or analyzing dataacross 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 mediaautomation, 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.

£4,000 signing bonus paid to you on hire.

• Hands-on LLM/agent building (e.g., Lang Chain/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.

• Java
• Machine Learning
• Scala
• Artificial Intelligence