AI Integration Engineer

Founded in 2018 and headquartered in The Netherlands, GT Ecom BV is on a mission to build the most efficient global direct-to-consumer infrastructure and become the world’s largest e-commerce company—powered by a collective of successful, scalable brands. By 2026, we’re aiming to achieve $500 million in revenue and operate over 50 thriving online stores worldwide.

With a team of 160+ top-tier remote e-commerce professionals across the globe, we blend local brand experiences with cross-border logistics, ensuring every customer feels connected—no matter where they are.

At our core, we value hard work, freedom with responsibility, constant improvement, and a mindset of positivity. We believe in building a high-performance, remote-first culture where honesty, excellence, and creativity drive everything we do—because the future of work is global, and we’re building it together.

The Upsides of Working with Us

💪 Hard Work That Matters

We’re surrounded by people who care deeply and give their best. We don’t settle for average—we show up, push boundaries, and aim high. That shared drive creates momentum and meaning in everything we do.

🔓 Freedom with Responsibility

You have the freedom to choose how, when, and where you work—but freedom only thrives when it’s paired with ownership. We trust you to manage your time, meet your commitments, and take responsibility for your impact.

📚 Constant Improvement

Growth is part of our DNA. We believe in learning, evolving, and getting 1% better every day. Whether it’s a new skill, a fresh mindset, or sharper execution—stagnation isn’t in our vocabulary.

🌞 Positivity by Default

We approach people, problems, and communication with a positive mindset. That means giving the benefit of the doubt, staying constructive, and keeping energy high—even when challenges arise.

🗣️ Honesty & Transparency

We believe the fastest way to move forward is through clear, honest communication. No politics. No guessing games. Just straight talk that builds trust and strengthens our team.

🏆 Excellence Is the Baseline

We hold ourselves and each other to a high standard—not out of pressure, but out of pride. We care too much about what we’re building to accept "good enough." Excellence is the expectation.

🎯 Creativity Welcome Here

We encourage bold ideas, fast testing, and open collaboration. Failure doesn’t scare us—comfort does. That’s why creativity is valued as a core ingredient in everything from product to process.

We’re looking for a sharp, social, empathic, and ambitious AI Integration Engineer to help build, integrate, and maintain advanced AI systems that power GTEcom's internal operations and customer-facing experiences.

The Challenge

As an AI Integration Engineer, you’ll design, ship, and maintain production-grade generative-AI solutions across core systems like Customer Service Agents, ERP platforms, and Supply Chain tools. You’ll own key components of our AI stack—prioritizing reliability, security, and scalability—while writing clean, production-quality code in Python. You stay current on frontier models (OpenAI, Anthropic Claude, Google Gemini) and use the right capability for the job (tool/function calling, structured outputs, code execution, vision). You’ll partner with product, operations, and engineering to automate real workflows, drive our AI-first roadmap, and evaluate emerging tech for integration into GTEcom’s ecosystem.

Early Success Milestones for this role

• Own & ship a meaningful capability (e.g., a new module of the Customer Service AI Agent) to production with proper tests, evals, and rollback.
• Meet SLOs for latency, cost, and quality (measured via automated offline/online evals, guardrails, and monitoring).
• Improve safety & reliability by implementing prompt-injection defenses, data-handling rules, and observability for model/tool calls.

Your Team When You Join Us

• You’ll collaborate daily with our full-stack team and report to theCTO. Expect tight loops with product and ops to turn ambiguous use cases into stable, measurable AI features.

We would love to hear from you if…

• 3+ years building and deploying production AI/ML systems (ideally gen-AI applications such as chatbots/assistants, routing, content or vision features).
• Strong with Python and production engineering (testing, CI/CD, observability, versioning, data privacy).
• Hands-on with frontier model APIs (OpenAI, Anthropic Claude, Google Gemini) including function/tool calling and structured outputs/JSON schema
• Experience integrating AI into ERP or supply-chain workflows (querying live systems, calling business functions, enforcing guardrails).
• Comfortable with LLMOps: offline/online evals, A/B tests, prompt-attack hardening, red-team checks, and runtime monitoring for hallucinations and sensitive-data exposure.
• Pragmatic about AI coding tools (e.g., Cursor, Claude Code, Cline, Copilot): you use them to accelerate delivery, but you still review diffs, write tests, and uphold code quality.
• Familiarity with common ML/infra libraries and services (e.g., PyTorch/Transformers or scikit-learn, vector storage, queues, message buses).
• Nice to have: experience running/local-first models (e.g., Ollama) and working with Google Cloud or AWS Bedrock.

Couple of the notes about the role

• This is not a salaried position. This is an Independent Contractor role.
• You must be able to commit at least 8 hours per day, 40 hours per week.
• We require everybody in the team to use Hubstaff (https://hubstaff.com/) to track hours worked.

Compensation

We pay on an hourly basis — we’re open to reviewing rates based on experience and expertise. This role may have performance incentives.

If you are excited about the opportunity and feel like you are a good fit, we encourage you to apply today and talk to one of our recruiters. We look forward to seeing how your skills and experiences align with our vision.

Note: Your portfolio is a strong requirement for the role. Your application will be tagged as rejected if you cannot provide your portfolio. Please avoid re-using your resume or putting your LinkedIn profile in the portfolio link.