Jobs · Engineering · California

Senior AI Engineer - Agentic Platform Lead

EVONA · Los Angeles, CA · 3 days ago
Engineering$165k–$250k/yrFull-time

About the role

The Senior AI Engineer – Agentic Platform Lead is a senior, hands-on technical leadership role for an engineer who thrives in ambiguity, moves fast, and uses AI as leverage to eliminate friction in complex engineering workflows.

Responsibilities

  • Architect and own the full-stack agentic AI platform, including orchestration, runtimes, and services
  • Design distributed systems (orchestrator–worker, swarms, event-driven architectures) for agent coordination
  • Build secure execution layers integrating internal tools, simulations, and data sources
  • Implement memory, context, and decision-tracking systems for agent reasoning and traceability
  • Profile and optimize performance for latency, reliability, and observability
  • Lead and mentor a small team of engineers and technical contributors
  • Partner with engineering domain experts to translate real workflows into scalable agentic capabilities
  • Influence long-term technical strategy for agentic AI across the organization

Requirements

  • Master’s + 5 years, or PhD + 3 years in Computer Science, Physics, Mathematics, or equivalent experience
  • 5+ years building production-grade backend or distributed systems in mission-critical environments
  • Strong experience with Python, Go, or Rust and modern microservice architectures
  • Hands-on experience with LLM-based systems and agent frameworks (e.g., LangGraph, AutoGen, or custom runtimes)
  • Demonstrated AI-first workflow, using LLMs and agents to materially accelerate development
  • Proven technical leadership in fast-moving, ambiguous environments

Qualifications

  • Background in Mechanical, Aerospace, Electrical Engineering, Physics, or Applied Mathematics
  • Experience integrating AI agents with engineering tools (CAD/CAE, simulation, manufacturing platforms)
  • Experience with observability stacks (logging, tracing, metrics)
  • Experience building safety-critical or mission-critical platforms
  • Open-source contributions or personal projects demonstrating deep system-building expertise

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