Senior Agentic Platform Engineer: LLM & Distributed Systems

Shields Group

San Francisco (CA)

Hybrid

USD 220,000 - 290,000

Full time

3 days ago
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Job summary

Shields Group seeks a Senior/Staff Software Engineer for the Agentic Platform to build scalable agentic AI systems. You will own architecture, orchestration, memory, retrieval, and guardrails in a production context.

The role emphasizes learning from failed experiments and delivering reliable, enterprise-grade software. You will collaborate with product and engineering teams across SF and NYC, mentor peers, and drive architecture decisions while balancing rapid experimentation with system

Qualifications

  • 4+ years of software engineering experience at senior-to-staff level.
  • Hands-on experience building agentic systems.
  • Experience with LLM orchestration and tool use.
  • Experience with multi-agent reasoning and retrieval/contexts.
  • Familiar with data-intensive distributed systems in enterprise environments.
  • Strong observability, testing, and reliability practices.

Responsibilities

  • Own the architecture for agentic systems, including orchestration, memory, retrieval, evaluation, and guardrails.
  • Build and harden reasoning layers transforming input data into root-cause insights at enterprise scale.
  • Establish evaluation and testing frameworks for non-deterministic systems.
  • Partner with Engineering and Product to shape the technical vision and roadmap.
  • Mentor engineers and raise engineering standards across the org.

Skills

4+ years of software engineering
agentic AI experience
LLM orchestration
Tool and function calling
Multi-step/multi-agent reasoning
Retrieval and context engineering
Interoperability protocols (MCP)
Non-deterministic system failures
Messy real-world data
Technical mentorship
Senior-to-staff experience
Enterprise domain experience

Education

N/A

Tools

MCP protocol

Job description

Shields Group seeks a Senior/Staff Software Engineer for the Agentic Platform to build scalable agentic AI systems. You will own architecture, orchestration, memory, retrieval, and guardrails in a production context.

The role emphasizes learning from failed experiments and delivering reliable, enterprise-grade software. You will collaborate with product and engineering teams across SF and NYC, mentor peers, and drive architecture decisions while balancing rapid experimentation with system

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