Agentic AI Machine Learning Engineer

Prophecy; Palo Alto (CA); On-site; USD 180,000 - 240,000; Full time

Benefits offered by this job

£4,000 signing bonus

Job summary

Prophecy is seeking a versatile software developer in Palo Alto to build and deploy LLM-powered agents, optimize prompts, and integrate semantic search with vector databases across data platforms.

You will work with Python, REST APIs, and microservices in public cloud, with exposure to Go, AWS, Kubernetes, Java, and Scala to drive production-ready solutions. A £4,000 signing bonus is offered to new hires.

Qualifications

• Hands-on experience building and tuning LLM/agents to quality benchmarks.
• Experience with semantic search, RAG, and vector databases.
• Prompt engineering and optimization expertise.
• Hands-on experience building and deploying agents in at least one use case set.
• Fluency in Python, REST APIs, microservices in public cloud; knowledge of Go, AWS, k8s, Java, Scala.
• Demonstrated ability to take ideas to production.

Responsibilities

• Build and tune LLM/agent systems to meet quality benchmarks.
• Apply semantic search, RAG, and vector databases to data workflows.
• Design and optimize prompts for agent performance.
• Develop and deploy agents for workflow orchestration, data analysis, and automation.

Skills

LLM/Agent building

Semantic search

RAG

Vector databases

Prompt engineering

Agentic use cases

Python

REST APIs

Microservices

Go

AWS

Kubernetes

Java

Scala

Production readiness

Tools

LangChain

CrewAI

Weaviate

Graph

Job description

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.

Must-Have Skills:

• Hands-on LLM/agent building (e.g., LangChain/Graph, CrewAI) and tuning to qualitybenchmarks.
• 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 GitHub Copilot extensions).
  • Data Analysis/Transformation: Querying, manipulating, or analyzing dataacross sources (e.g., topic extraction, document analytics in vector DBs likeWeaviate).
  • Personalized Assistance: Tailoring recommendations or plans (e.g., e-commerce, education, or finance agents).
  • Autonomous Decision-Making: Real-time decisions in domains like trading orhealthcare (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 publiccloud; 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.

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.

Tech stack

• Java
• Machine Learning
• Scala
• Artificial Intelligence