Head of AI Engineering (Architecture & Agents)

GoOpti B.V.

7d • €75,000 - €100,000 • Remote

About The Position

GoOpti is seeking its first senior AI hire to design the foundation for an AI-native company and build the first production agents. The role combines architecture and hands-on engineering: establish a reusable agent platform for orchestration, internal-system access, context and memory, monitoring, evaluation, and human approvals; then connect AI to the company’s Java backend, APIs, and databases and ship autonomous agents into daily use.

The role includes creating a machine-readable “Company Brain” that brings together operational and warehouse data, business rules, and working knowledge from tools such as MS Teams, email, customer-care conversations, complaints, and Git. The role will also lead agent initiatives across marketing, development, finance, customer care, pricing and planning, and later sales; establish improvement loops and manage model and token economics; and run a weekly intake and prioritization process with department heads. The position reports to the CEO and works daily with the development team and CTO, alongside the backend team and one or two contract AI developers.

GoOpti is a door-to-door shared-transfer marketplace connecting cities and airports across Europe. The company aims to use agents across departments in a safe, measurable way, connected to the systems that operate the business. Success measures include hours freed per week, customer conversations resolved without a person, revenue per employee, token cost per booking, and fixes merged from improvement loops. The stated milestones run from March through September 2027, including putting the platform foundation and initial skills into use, expanding skills across departments, and handling the summer peak with office headcount flat.

The role is remote in the CET region with two days on-site, or based in Ljubljana, Slovenia. The planned start is February 2027. Compensation is €75,000–€100,000 gross per year, with bonus and equity noted as to be confirmed. Benefits include 25+ days of vacation, team buildings and in-person meetups, and a budget for models, tools, and evaluations.

Requirements

• At least 6 years building backend or data systems.
• At least 2 years shipping LLM-based systems in production, including tool use, retrieval, evaluations, or agents.
• Experience dealing with context limits, tool-calling failures, runaway costs, and silent regressions in LLM systems.
• Strong backend engineering skills, including comfort working in a large Java codebase, designing REST APIs, and integrating with existing services.
• Ability to use Python or TypeScript for AI tooling.
• Solid data-modelling skills and strong SQL knowledge, including MySQL or PostgreSQL.
• Architecture skills, including evaluating approaches, documenting decisions, and designing for scale, security, and GDPR.
• A track record of pragmatically building useful systems quickly in a small company with existing systems.
• Ability to explain trade-offs to non-technical managers and to identify when an approach should not be pursued.
• Fluent English.

Nice To Haves

• Production experience building MCP servers and multi-agent orchestration.
• Experience with LLM observability or evaluation tooling and model routing across providers such as OpenAI, Anthropic, or open models.
• Travel, mobility, or marketplace experience, or experience with routing or operations research.

Responsibilities

• Design and build a reusable agent platform covering orchestration, system and data access, context and memory, observability, tracing, evaluations, hand-offs, human approvals, and permissions.
• Create a machine-readable Company Brain by bringing together bookings, prices, trips, franchise results, business rules, and working knowledge; enable agents to query it, flag contradictions, and keep it up to date.
• Connect AI systems to the company’s Java backend, APIs, databases, and existing services, and ship the first autonomous agents into daily use.
• Develop and expand agents for marketing, development, finance, customer care, pricing and planning, and later sales and B2B partner support.
• Build improvement loops in which a supervisor agent diagnoses failures, drafts code or policy changes, tests them in a sandbox, and opens merge requests for human approval.
• Own model selection and token budgets, run evaluations, and report AI costs such as token cost per booking.
• Run a weekly intake of problems from department heads, limit concurrent builds to at most two per department, and define an owner, measure, and go/no-go gate for each build.
• Lead one or two contract AI developers, work alongside the backend team, and teach managers how to write effective agent specifications.
• Measure outcomes including hours freed, customer conversations resolved without human involvement, revenue per employee, token cost per booking, and fixes merged from improvement loops.

Benefits

• €75,000–€100,000 gross per year, plus bonus and equity (to be confirmed).
• Budget for models, tools, and evaluations.
• 25+ days of vacation.
• Team buildings and in-person meetups.
• An open mandate to shape the company’s AI architecture and direct access to leadership and business stakeholders.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed