Senior AI Product Engineer - Enterprise Agent Systems

Jobgether

Italy

Remote

EUR 181,000 - 271,000

Full time

2 days ago
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Benefits offered by this job

Remote work across continents
Stock options
Generous PTO
Health insurance

Job summary

Jobgether is seeking an experienced Staff AI Product Engineer in Italy to lead architecture and development of a production‑grade multi‑agent system for enterprise workflows. You will own MCP integrations, data infrastructure, and evaluation frameworks, shaping the technical roadmap with engineering leadership.

Ideal candidates have 7+ years in full‑stack SaaS, hands‑on multi‑agent experience, and strong AI tooling fluency.

Qualifications

  • 7+ years of full‑stack software development experience, preferably in B2B SaaS.
  • Proven, hands‑on experience designing and deploying production‑grade multi‑agent systems.
  • Experience building MCP servers or integrations used in production environments.
  • Strong production engineering principles: reliability, observability, security, and safe execution of workflows.
  • Ability to balance product thinking with technical leadership and roadmap influence.
  • Excellent communication and collaboration across leadership, product, and customers.

Responsibilities

  • Lead architecture, design, and development of a production‑grade multi‑agent system across core business tools.
  • Own MCP integrations connecting internal systems with external AI environments.
  • Design unified data infra for AI agents and external tools.
  • Build contextual memory and customer profiling systems.
  • Implement reliability, observability, permissions, and durable execution mechanisms.

Skills

Full-stack leadership
AI systems
Product mindset
Communication
Collaborative teamwork

Tools

React
TypeScript
Node.js
PostgreSQL
GraphQL
LangGraph

Job description

Jobgether is seeking an experienced Staff AI Product Engineer in Italy to lead architecture and development of a production‑grade multi‑agent system for enterprise workflows. You will own MCP integrations, data infrastructure, and evaluation frameworks, shaping the technical roadmap with engineering leadership.

Ideal candidates have 7+ years in full‑stack SaaS, hands‑on multi‑agent experience, and strong AI tooling fluency.

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