At a Glance
- Tasks: Design and deploy AI-powered commerce solutions for enterprise customers.
- Company: Join DaVinci Commerce, a leader in AI-driven commerce media.
- Benefits: Competitive salary, hybrid work model, and opportunities for professional growth.
- Other info: Collaborate with talented teams and shape the future of commerce.
- Why this job: Make a real impact by building innovative AI systems for top global brands.
- Qualifications: Experience in software engineering and customer-facing roles is essential.
The predicted salary is between 60000 - 80000 € per year.
At DaVinci Commerce, we’re pioneering the future of commerce media where generative AI meets real shopper data through our AI-native platform, DaVinci Commerce, to create personalized brand experiences. We focus on innovative solutions like agentic shopping ads, autonomous creative compliance, and a platform that launches commerce campaigns in under 5 minutes. Our work powers some of the world’s most recognizable brands and major retailers as they navigate the rapidly evolving commerce media landscape.
DaVinci Commerce is building the next generation of AI-powered commerce experiences — from autonomous BrandStore agents to enterprise-grade conversational commerce workflows. We believe the future of commerce will be driven by intelligent agents that can assist shoppers, automate operations, and create deeply personalized customer journeys. As part of this transformation, our Customer Solutions team works directly with enterprise brands and retailers to deploy mission-critical AI solutions tailored to each customer’s unique business requirements. This includes custom interfaces, enterprise-grade AI agents, integrations, onboarding, and solution consulting.
We are looking for a highly technical and customer-facing Forward Deployed Engineer (FDE) to join the Customer Solutions team at DaVinci Commerce. This is a hybrid role that combines software engineering, solution architecture, AI agent deployment, customer onboarding, and technical consulting. You will work closely with enterprise customers to design, build, deploy, and support AI-powered commerce experiences using DaVinci Commerce’s APIs, MCP interfaces, and Agentic BrandStore framework.
As an FDE, you will bridge the gap between Product, Engineering, and Customers — acting as both a technical problem solver and trusted solution advisor. You will rapidly prototype customer-specific solutions, build scalable AI agents, conduct live demos, onboard enterprise clients, and ensure successful production deployments. This role is ideal for someone who enjoys solving real-world business problems, working directly with customers, and building production-ready AI systems that power commerce experiences for global brands.
Key Responsibilities:
- Design, build, and deploy customer-specific AI commerce solutions using DaVinci Commerce APIs, MCP interfaces, and BrandStore Agent frameworks.
- Rapidly prototype custom workflows, interfaces, automations, and integrations for enterprise customers.
- Develop backend services, APIs, orchestration layers, and integrations required for customer deployments.
- Ensure deployed agents and solutions meet enterprise-grade reliability, scalability, and uptime requirements.
- Work closely with Product and Engineering teams to influence platform improvements based on customer feedback.
- Build and maintain production-grade AI agents for commerce and BrandStore use cases.
- Implement orchestration logic, state management, workflow automation, and service integrations.
- Optimize AI agent performance, reliability, observability, and fault tolerance.
- Support hosting, deployment, monitoring, and debugging of mission-critical customer-facing systems.
- Lead technical onboarding sessions for enterprise customers and partners.
- Train customer teams on DaVinci Commerce platform capabilities, workflows, and best practices.
- Create onboarding documentation, solution playbooks, and technical enablement material.
- Conduct technical workshops and hands-on implementation sessions with customers.
- Conduct live demos and technical presentations for enterprise customers and partners.
- Work alongside Customer Solutions, Sales, and Marketing teams during customer evaluations and solution discussions.
- Translate customer business requirements into scalable technical solutions.
- Serve as a technical advisor during enterprise implementation and expansion conversations.
- Partner with Engineering teams to productionize reusable customer solutions.
- Collaborate with Product Management to prioritize platform enhancements.
- Work closely with Customer Success to ensure long-term customer adoption and satisfaction.
- Contribute to internal best practices, deployment standards, and reusable solution frameworks.
Qualifications & Skills:
- Strong programming experience in Python, Node.js, TypeScript, or similar backend technologies.
- Experience building APIs, microservices, integrations, and automation workflows.
- Hands-on experience deploying LLM-powered applications: working knowledge of agent orchestration, tool/function calling and prompt design for production use cases.
- Experience working with cloud infrastructure and deployment environments (AWS/GCP/Azure).
- Familiarity with databases, authentication systems, queues, monitoring, and distributed systems.
- Ability to use observability and monitoring tools to diagnose production issues in AI deployments.
- Excellent communication and presentation skills.
- Ability to explain complex technical concepts to non-technical stakeholders.
- Comfortable conducting live demos, workshops, and customer onboarding sessions.
- Strong problem-solving mindset with the ability to work independently in fast-paced environments.
- Ability to manage ambiguity and rapidly changing priorities.
Preferred Experience:
- Experience working in solution engineering, forward deployed engineering, sales engineering, or customer solutions roles.
- Experience deploying AI/LLM-powered applications in production environments.
- Familiarity with agentic systems, workflow orchestration, and conversational AI platforms.
- Experience supporting enterprise customers and managing mission-critical deployments.
- Startup experience or experience working in high-growth AI companies is a plus.
Educational & Experience Requirements:
- Bachelor’s degree in Computer Science, Engineering, Information Technology, or a related field.
- 5 - 7 years of professional software engineering or solution engineering experience.
- Experience working with enterprise SaaS platforms, APIs, integrations, or AI systems.
- Prior customer-facing technical experience preferred.
Why Join DaVinci Commerce?
- Work on cutting-edge AI commerce and agentic AI technologies.
- Build mission-critical AI systems for some of the world’s leading brands and retailers.
- Collaborate with world-class engineering and product teams shaping the future of commerce media.
- High ownership, fast execution, and direct customer impact.
- Opportunity to define the future of AI-powered commerce experiences globally.
How To Apply:
Qualified candidates are encouraged to submit their resume in Word or PDF format to careers@davincicommerce.ai with the job title in the email subject line.
DaVinci Commerce is an Equal Opportunity Employer (EOE).
Forward Deployed Engineer (FDE), Customer Solutions in London employer: DaVinci Commerce
At DaVinci Commerce, we pride ourselves on being an exceptional employer that fosters a culture of innovation and collaboration. Our hybrid work environment allows for flexibility while working on cutting-edge AI technologies that directly impact global brands. We offer ample opportunities for professional growth, hands-on experience with enterprise-level solutions, and the chance to shape the future of commerce media in a supportive and dynamic team atmosphere.
StudySmarter Expert Advice🤫
We think this is how you could land Forward Deployed Engineer (FDE), Customer Solutions in London
✨Tip Number 1
Get to know the company inside out! Research DaVinci Commerce's products and values so you can speak their language during interviews. This shows you're genuinely interested and ready to contribute.
✨Tip Number 2
Network like a pro! Connect with current employees on LinkedIn or attend industry events. A friendly chat can sometimes lead to insider tips or even a referral, which can give you a leg up in the hiring process.
✨Tip Number 3
Prepare for technical challenges! Brush up on your coding skills and be ready to showcase your problem-solving abilities. Practice common interview questions related to AI and software engineering to impress the hiring team.
✨Tip Number 4
Don’t forget to follow up! After your interview, send a quick thank-you email to express your appreciation for the opportunity. It’s a nice touch that keeps you fresh in their minds as they make their decision.
We think you need these skills to ace Forward Deployed Engineer (FDE), Customer Solutions in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Forward Deployed Engineer role. Highlight relevant experience, especially in software engineering and customer-facing roles. We want to see how your skills align with our mission at DaVinci Commerce!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're excited about the role and how you can contribute to our Customer Solutions team. Be genuine and let your personality come through – we love that!
Showcase Your Technical Skills:Don’t forget to highlight your technical skills, especially in Python, Node.js, or any relevant backend technologies. We’re looking for someone who can bridge the gap between tech and customers, so make sure to showcase your problem-solving abilities!
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of applications better and ensures you don’t miss out on any important updates. Plus, it’s super easy!
How to prepare for a job interview at DaVinci Commerce
✨Know Your Tech Inside Out
As a Forward Deployed Engineer, you'll need to be comfortable with programming languages like Python and Node.js. Brush up on your coding skills and be ready to discuss your experience with APIs and microservices. Prepare to explain how you've tackled technical challenges in the past.
✨Showcase Your Customer-Facing Skills
This role is all about bridging the gap between tech and customers. Be prepared to share examples of how you've communicated complex ideas to non-technical stakeholders. Practice explaining your previous projects in a way that highlights your ability to engage and educate clients.
✨Demonstrate Problem-Solving Prowess
Expect to face scenario-based questions that test your problem-solving skills. Think of real-world business problems you've solved and be ready to walk through your thought process. Highlight your ability to adapt and manage ambiguity in fast-paced environments.
✨Prepare for Live Demos
Since conducting live demos is part of the job, practice presenting your solutions clearly and confidently. Consider setting up a mock demo session with a friend or colleague to get feedback. Make sure you can showcase your technical skills while keeping it engaging for the audience.
