Agentic AI Machine Learning Engineer
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.