Staff AI Product Engineer - Multi-Agent Systems (Remote)

Jobgether; Denmark; Remote; DKK 1,349,000 - 2,023,000; Full time

Benefits offered by this job

Remote work across continents

Stock options with 10-year window

Paid time off 18 days + publicholidays

Health insurance

401(k) plan

AI stipend

Job summary

Jobgether is seeking a Staff AI Product Engineer based in Denmark to lead the architecture and production deployment of a next‑gen AI product ecosystem. You will own multi‑agent systems, MCP integrations, and a unified data layer, shaping the technical roadmap with leadership and customers.

You will prototype AI capabilities, ensure safe AI actions with guardrails, and drive measurable outcomes while collaborating across engineering and product teams in a fast‑moving startup.

Qualifications

• 7+ years of full-stack software development experience, ideally building and scaling B2B SaaS applications.
• Hands-on experience designing and deploying production-grade multi-agent systems.
• Experience building and maintaining MCP servers or integrations used in production.
• Strong production engineering principles: reliability, observability, security, permissions, safe workflow execution.
• Experience blending product thinking with technical leadership to shape roadmaps.
• Proficiency in React, TypeScript, Node.js, PostgreSQL, GraphQL, LangGraph; quick to learn new tech.
• Previous startup experience in small engineering teams with ownership.
• Strong practical AI fluency, daily use of Claude Code or equivalent; building custom agents/workflows.
• Ability to design AI evaluation processes and implement safeguards for AI actions.
• Experience deploying AI agents to real users with guardrails and observability.

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 and implement a centralized data layer for AI agents and tools.
• Build contextual memory and customer profiling to enable personalized AI experiences.
• Establish reliability, observability, permissions, and durable execution for safe agent actions.
• Develop evaluation frameworks and automated tests based on real customer use cases.
• Define standards and patterns for building, testing, deploying, and maintaining agentic systems.
• Stay ahead of AI models, agentic frameworks, and orchestration tools; integrate innovations.
• Prototype new AI capabilities and present technical opportunities to teams and customers.
• Collaborate with leadership, product, and customers to shape the AI roadmap.
• Mentor engineers and influence direction while delivering measurable customer value.

Skills

Full-stack development

Multi-agent systems

MCP integrations

System reliability

Observability

Product leadership

React

TypeScript

Node.js

PostgreSQL

GraphQL

LangGraph

Startup experience

AI fluency

Claude Code

Guardrails

Team collaboration

Communication

Tools

Claude Code

LangGraph

Job description

Jobgether is seeking a Staff AI Product Engineer based in Denmark to lead the architecture and production deployment of a next‑gen AI product ecosystem. You will own multi‑agent systems, MCP integrations, and a unified data layer, shaping the technical roadmap with leadership and customers.

You will prototype AI capabilities, ensure safe AI actions with guardrails, and drive measurable outcomes while collaborating across engineering and product teams in a fast‑moving startup.