Staff Engineer: Agentic AI Lead for Enterprise Workflows

Praxy

San Francisco, Northern (CA, KY)

Hybrid

USD 160,000 - 250,000

Full time

14 days+
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Job summary

Praxy is seeking a senior technical leader to own the core agent intelligence layer in an AI-native engineering software environment. You will report to the CTO and lead a small team of AI engineers, a user researcher, and contractors, shaping real-world product value for enterprise customers.

You will drive the full product loop from user story definition to implementation and benchmarking across CAD/CAE/PLM workflows, optimize costs, and ensure reliable multi-step automation in desktop

Qualifications

  • 7+ years in software engineering with real-world agentic LLM systems.
  • Deep experience with LLM architecture: model selection, context/window management, retrieval strategies.
  • Strong evaluation and benchmarking instincts for agentic systems.
  • Proven track record of shipped AI systems with measurable outcomes.
  • Strong Python skills and hands-on familiarity with LLM tooling.
  • Technical leadership experience for small teams (3–6 engineers).
  • Hands-on background with mechanical engineering software (CAD/CAE/PLM).
  • Experience shipping AI tooling on engineering data or desktop apps.

Responsibilities

  • Lead development of the agent intelligence layer across CAD/PLM software.
  • Own the full product loop from user story to implementation and benchmarking.
  • Define evaluation frameworks and cost controls for per-task budgets and workflows.
  • Collaborate with cross-functional teams during POCs to align agent behavior with real-world usage.
  • Write production code, review designs, and raise the engineering bar.
  • Architect tool-calling strategies, context management, and recovery for reliable workflows.

Skills

7+ years software engineering
Agentic LLM systems
Python skills
LLM tooling familiarity
Technical leadership
Desktop engineering tools
Cost optimization

Tools

Function calling
Tool use APIs
Tracing/observability
Evaluation frameworks

Job description

Praxy is seeking a senior technical leader to own the core agent intelligence layer in an AI-native engineering software environment. You will report to the CTO and lead a small team of AI engineers, a user researcher, and contractors, shaping real-world product value for enterprise customers.

You will drive the full product loop from user story definition to implementation and benchmarking across CAD/CAE/PLM workflows, optimize costs, and ensure reliable multi-step automation in desktop

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