Customer Engineer

Join the AI revolution by contributing to our team's mission - helping businesses efficiently deploy AI at scale. With us, you'll be building distributed systems, designing reliable and adaptive solutions, and writing code that shapes the future of how AI is used.

At nexos.ai, we’re building infrastructure to help organizations adopt AI securely and at scale.

We’re now hiring a Customer Engineer to strengthen the technical side of our team. This role is ideal for engineers who enjoy solving real-world problems directly with customers. You will work closely with the Product and Engineering teams, supporting customer-facing initiatives—from discovery and prototyping to onboarding and feedback loops. Your goal will be to ensure technical clarity, credibility, and success across the customer journey.

Main Responsibilities:

• Act as the technical counterpart to enterprise customers- helping understand requirements, define solutions, and map them to our product capabilities.
• Support technical discovery, solution design, and architecture discussions in collaboration with Sales and Product.
• Deliver hands-on product demonstrations, technical evaluations, and proofs of concept (PoCs).Translate complex customer needs into product configurations or implementation approaches.
• Act as a feedback bridge between the field and our Engineering team- reporting product gaps, technical blockers, and usability issues.
• Ensure smooth onboarding by assisting with integrations, APIs, and infrastructure alignment.
• Maintain relationships with technical stakeholders on the customer side, including engineering and IT/security teams.
• Develop and maintain internal documentation, reusable code snippets, and solution templates.
• Contribute to internal knowledge sharing on customer use cases, deployment patterns, and implementation lessons learned.

Core Requirements

• 3+ years of experience in data engineering, data analytics, or data science, or a technical role in the data field. Experience in software engineering, solution engineering, or technical consulting could also be considered.
• Solid understanding of SaaS platforms, cloud infrastructure (AWS, GCP, Azure), APIs, and data security best practices.
• Exposure to AI/ML systems and tooling—either through implementation or integration work.
• Experience delivering technical PoCs, proof-of-value projects, or integration pilots with enterprise clients.
• Strong troubleshooting and systems thinking abilities—comfortable navigating complex IT and data environments.
• Clear communicator, able to articulate technical topics to both internal and external teams.
• Comfortable working in a high-velocity environment with frequent cross-functional collaboration.
• Fluency in English (written and spoken); additional languages are a plus.
• Willingness to occasionally travel for customer sessions or events.

This is not a pre-sales role in the traditional sense - it’s a hands-on, engineering-driven position, focused on helping customers succeed with complex technical integrations and real-world deployment of AI systems.

If you're an experienced professional in a data field, who wants to work closely with customers and influence product direction based on real-world needs, we’d like to hear from you.

Salary Range

• Gross salary is 17 000 - 29 885 pln/month + OTE Bonus. We are open to adjusting this based on the depth and relevance of your experience.

What we offer

• Professional growth. Internal and external events, online training, conferences, books - everything you need to reach full potential.

• Health benefits. Private health insurance, sports access card, online workouts, consultations to feel and be your best.

• Team spirit. Team buildings and parties with games, shows, tastings, food coupons, gifts, and it’s on us.

• More free time. Stay with us and additional vacation days will be added to your calendar.

• Additional paid leave. Additional days are covered by us in cases of illness or special occasions.

• Flexibility. Flexible working time arrangement.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.