Staff AI Platform Engineer — Remote, Equity, Growth

Syndio

New York (NY)

Hybrid

USD 205,000 - 225,000

Full time

3 days ago
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Benefits offered by this job

Equity
Flexible vacation
Medical insurance
Dental insurance
Vision insurance
Life Insurance
Disability insurance
Remote-friendly in US

Job summary

Syndio’s AI platform team is hiring a staff-level engineer to own major runtime surfaces and grow the platform end-to-end. You will design, ship, and operate key backend services with a small, autonomous team, collaborating with product-team owners through the platform’s contribution seams.

You will work on the agent loop, tool integration, memory, and eval infrastructure, ensuring operability, compliance, and scalable cross-team impact across production systems.

Qualifications

  • 5+ years building production backend systems.
  • Experience shipping LLM-powered systems in production.
  • Design for operability: compliance, tracing, evals, and kill switches.
  • Own a technical domain with API design and end-to-end ownership.
  • Strong written communication and cross-team collaboration.

Responsibilities

  • Develop core runtime surfaces of syndi-api (agent loop, tool registry).
  • Grow the eval system for production traces and detectors.
  • Maintain production observability and incident response.
  • Review product teams' tool wrappers and evals; update GET /tools.
  • Ensure compliance and legal requirements are integrated into design.

Skills

Backend development
Python
Relational databases
Cloud infrastructure
LLM-powered systems
Operability & compliance
Technical ownership
APIs design

Tools

Datadog
Kubernetes
Postgres
Claude on Vertex
GCP

Job description

Syndio’s AI platform team is hiring a staff-level engineer to own major runtime surfaces and grow the platform end-to-end. You will design, ship, and operate key backend services with a small, autonomous team, collaborating with product-team owners through the platform’s contribution seams.

You will work on the agent loop, tool integration, memory, and eval infrastructure, ensuring operability, compliance, and scalable cross-team impact across production systems.

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