Staff AI Product Engineer

Jobgether; Belgium; Remote; EUR 181,000 - 271,000; Full time

Benefits offered by this job

Fully remote across four continents

Stock options with 10-year exercise窗

18 days PTO + 11 public holidays

Medical, dental, vision insurance

401(k) plan for US employees

AI tools stipend

Annual in-person team offsites

Job summary

Jobgether is seeking a Staff AI Product Engineer in Belgium to shape and lead a next-generation AI product ecosystem for business operations. You will own the architecture of production-grade agentic systems, integrating MCPs and contextual memory to automate workflows and drive smarter decisions.

You will collaborate with leadership, product teams, and customers to influence the technical roadmap, set engineering standards, and push the boundaries of enterprise AI in a fast-moving startup.

Qualifications

• 7+ years of full-stack software development, ideally B2B SaaS.
• Hands-on experience designing and deploying production-grade multi-agent systems.
• Experience building MCP servers or integrations in production environments.
• Strong production engineering: reliability, observability, security, permissions, and safe workflow execution.
• Experience combining product thinking with technical leadership and roadmapping.
• Proficiency in React, TypeScript, Node.js, PostgreSQL, GraphQL, LangGraph.
• Experience in an early-stage startup with small teams and ownership in ambiguity.
• Strong practical AI fluency and daily use of Claude Code or similar.
• Ability to design AI evaluation processes with guardrails and proper safeguards.
• Experience deploying AI agents to real users with monitoring and rollback mechanisms.
• Excellent communication and collaborative mindset.
• Experience with supply chain software/ERP/CRM/BA marketplaces is a plus.

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 unified data infrastructure for AI access.
• Build contextual memory and customer profiling systems for personalized AI experiences.
• Establish reliability, observability, permissions, and safe execution mechanisms for data use.
• Develop evaluation frameworks and automated tests based on real-world use cases.
• Define architectural standards, patterns, and best practices for agentic systems.
• Stay ahead of AI models and orchestration tools, adopting valuable innovations.
• Prototype new AI capabilities and present technical concepts to teams and customers.
• Collaborate with leadership, product, and customers to shape the AI roadmap.
• Provide technical mentorship while delivering high-quality, customer-focused outcomes.

Skills

Full-stack development

Multi-agent systems

MCP integrations

Production engineering

Architectural decisions

AI fluency

Claude Code tools

Leadership & mentorship

Communication

Supply chain/ERP/CRM knowledge

Tools

LangGraph

MCP Server

Job description

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Staff AI Product Engineer based in Belgium.

We are looking for an experienced AI Product Engineer to shape and lead the development of a next-generation AI product ecosystem for business operations. In this hands-on, high-impact role, you will own the architecture and technical direction of production-grade agentic systems, from multi-agent orchestration and Model Context Protocol (MCP) integrations to contextual memory and evaluation frameworks. You will transform complex business data into intelligent, actionable experiences that help companies automate workflows and make better decisions. Working closely with engineering leadership, product teams, and customers, you will influence the technical roadmap and establish engineering standards across the organization. This is an opportunity to work at the forefront of enterprise AI in a fast-moving, profitable startup environment that values experimentation, technical ownership, and practical innovation. You will have the autonomy to explore emerging technologies, challenge existing approaches, and bring ambitious AI products into production.

Accountabilities

• Lead the architecture, design, and development of a production-grade multi-agent system capable of safely executing actions across core business tools, including ERP, CRM, spreadsheets, calendars, email, analytics, and compliance platforms.
• Own the development and continuous improvement of Model Context Protocol (MCP) integrations that connect internal business systems with external AI environments and assistants.
• Design and implement a unified data infrastructure that consolidates information from multiple sources into a centralized layer accessible to AI agents and external tools.
• Build contextual memory and customer profiling systems that ingest business data and enable increasingly personalized, intelligent AI experiences.
• Establish robust reliability, observability, permission management, and durable execution mechanisms to ensure agents operate safely on real customer data.
• Develop and maintain comprehensive evaluation frameworks and automated tests based on real-world customer use cases to measure agent performance and prevent regressions.
• Define architectural standards, engineering patterns, and best practices for building, testing, deploying, and maintaining agentic systems across the engineering organization.
• Stay ahead of developments in AI models, agentic frameworks, orchestration tools, and emerging technologies, incorporating valuable innovations into the product architecture.
• Rapidly prototype new AI capabilities and present technical concepts and product opportunities to internal teams and customers.
• Work hands-on with AI-assisted development tools such as Claude Code, continuously improving personal engineering workflows and sharing effective practices with the wider team.
• Collaborate closely with engineering leadership, product teams, and customers to shape the AI roadmap, prioritize initiatives, and translate business challenges into impactful technical solutions.
• Provide technical mentorship and influence engineering direction while maintaining a strong focus on execution, product quality, and measurable customer outcomes.

Requirements

• At least 7 years of full-stack software development experience, ideally building and scaling B2B SaaS applications.
• Proven, hands-on experience designing and deploying production-grade multi-agent systems, beyond experimental prototypes or personal projects.
• Demonstrated experience building and maintaining MCP servers or integrations used in production environments.
• Strong understanding of production engineering principles, including system reliability, observability, security, permissions, and safe workflow execution.
• Experience combining product thinking with technical leadership, including defining scope, making architectural decisions, and influencing product roadmaps rather than focusing exclusively on implementation.
• Proficiency in React, TypeScript, Node.js, PostgreSQL, GraphQL, and LangGraph, with the ability to quickly learn and adopt new technologies and frameworks.
• Previous experience in an early-stage startup environment, preferably within an engineering team of fewer than 20 people, with a track record of taking ownership and setting direction in ambiguous situations.
• Strong practical AI fluency, including daily use of Claude Code or comparable AI development tools, and the ability to build custom agents, skills, and automated workflows.
• Ability to design and implement effective AI evaluation processes, understand when to use language models versus conventional code, and build appropriate safeguards around AI-generated actions.
• Experience deploying AI agents to real users with suitable guardrails, monitoring, observability, and rollback mechanisms.
• Strong product and engineering judgment, with the ability to distinguish high-value opportunities from unnecessary complexity and deliver intuitive AI-powered experiences.
• Excellent communication skills, with the confidence to raise concerns, propose solutions proactively, and communicate complex technical concepts clearly.
• Collaborative, low-ego mindset, prioritizing team success, product quality, and shipped outcomes over internal politics or individual recognition.
• Additional advantages include experience with supply chain software, ERP, CRM, B2B marketplaces, or accounting platforms; UX design capabilities; advanced agentic systems, evaluation frameworks, or agent-to-agent protocols; independent product development using AI coding tools; and familiarity with the cannabis industry.

Benefits

• Competitive annual salary: $200,000-300,000, depending on experience, skills, and qualifications.
• Fully remote working opportunities across four continents.
• Employee-friendly stock option terms, including a 10-year exercise window after departure once two years of service have been completed.
• 18 days of paid time off annually, plus 11 public holidays.
• Separate sick leave that does not count toward annual paid time off.
• Medical, dental, and vision insurance, as well as a 401(k) plan for eligible US employees.
• Access to leading AI models, development platforms, and tools, alongside a generous AI stipend for additional resources.
• Opportunities to participate in company-wide AI workshops, training sessions, demonstrations, and hackathons.
• Annual in-person team offsites to encourage collaboration and strengthen team connections.
• A collaborative, innovation-driven environment that encourages experimentation, technical ownership, and continuous learning.
• Direct exposure to customers and opportunities to influence product strategy and engineering decisions.
• Benefits and employment arrangements may vary depending on country of residence and employment type.

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