Lead Ai Engineer (agentic Systems)

S&P Global Energy

Hybrid
Agentic systems architecture
Multi-agent workflows
Agent-to-agent communication
You will move beyond simple "chatbots" to design production-grade Agentic Systems: intelligent applications capable of reasoning, planning, and executing complex tasks autonomously

Job Summary

  • You will move beyond simple "chatbots" to design production-grade Agentic Systems: intelligent applications capable of reasoning, planning, and executing complex tasks autonomously.
  • Implement comprehensive observability using tools like Langfuse to trace agent reasoning steps, monitor token usage, and debug latency issues in production.
  • Partner with Product and Engineering leadership to scope feasibility for autonomous projects; define the "Agentic Architecture" roadmap.

Matching Summary

You will move beyond simple "chatbots" to design production-grade Agentic Systems: intelligent applications capable of reasoning, planning, and executing complex tasks autonomously.

Skills & Requirements

Must-have

  • Agentic Systems Architecture
  • Multi-Agent Workflows
  • Agent-to-Agent Communication
  • State Management & Orchestration
  • Model Integration & Optimization
  • Production Deployment on Kubernetes
  • Agent Data Pipelines
  • Real-Time Context Injection
  • LLMOps & Tracing
  • Safety & Control Frameworks
  • Evaluation & Reliability
  • Technical Leadership & Strategy
  • Advanced proficiency in Python

Nice-to-have

  • Knowledge Graphs and GraphML
  • Swarm intelligence
  • Multi-modal agent workflows
  • Experience in FinTech or Logistics

Key Requirements

  • 7+ years of total technical experience
  • 2+ years of GenAI specialization
  • Database & Lakehouse Mastery
  • Cloud & Infrastructure expertise
  • LLM Ecosystem familiarity
  • Hybrid Engineering Skillset
  • Bachelor’s degree in Computer Science or related field

Work Rights

Not specified

Tailored Resume

Cover Letter