Your profile
At Cenosco, we build
Asset Integrity Management Software trusted by global leaders in Oil & Gas, Chemicals, and Energy.
As we invest heavily in AI-powered product capabilities, we need Senior Software Engineers who are as excited about building intelligent features as they are about clean, scalable code.
You will design and ship backend-heavy features on a modern SaaS platform, contribute to AI-powered product experiences, and bring a mindset that embraces AI-assisted development as part of how great engineers work today.
What You'll Do
Product Engineering
- Design, build, and ship high-quality features across the Cenosco platform, contributing to the full development lifecycle from architecture to production
- Write clean, maintainable, well-tested code in C# / .NET
- Contribute to system architecture and design discussions, influencing how we build scalable and maintainable solutions
- Collaborate closely with Product and Design to translate business requirements into solid technical implementations
- Participate in code reviews, raise the quality bar, and share knowledge across the engineering team
AI-Powered Features
- Build and integrate AI-powered product capabilities - from LLM integrations and intelligent workflows to data-driven features that add real value for customers in industrial environments
- Work alongside whole Engineering team to bring models and AI services into the product in a way that is robust, observable, and production-ready
- Contribute to the team's thinking on where AI can meaningfully improve the product experience for our users
AI-Augmented Development
- Use AI coding tools (such as GitHub Copilot, Cursor, Claude Code, or Codex) as a natural part of your development workflow to move faster, explore solutions, andmaintainhigh output quality
- Bring a pragmatic, curious approach to adopting new tooling and practices as the AI development landscape evolves
- Share what works with the team and helpestablishgood habits around AI-assisted engineering
What You'll Need
- 7+ years of professional software engineering experience in a SaaS or enterprise product environment
- Strong backend engineering background, professional C# / .NET experience
- Solid grasp of software design principles: clean code, SOLID, architectural patterns, and API design
- Experience with relational databases and working knowledge of cloud infrastructure (Azure, AWS or GCP)
- Familiarity with modern engineering practices: CI/CD, Docker, Kubernetes, code review culture
- You've meaningfully integrated AI coding tools into your workflow and can speak to how they've changed the way you architect, debug, or ship code.
- You think natively in terms of what AI can unlock for users - you've shipped product features powered by LLMs, embeddings, agents, or similar, and you understand the tradeoffs (latency, cost, reliability, hallucination) that come with them.
- You treat AI as a core part of how you work and build - you use it daily in your dev workflow, you've shipped real AI-powered features
- Strong communicationskills and a collaborative, proactive approach to problem-solving
Bonus Points For
- Experience building or integrating LLM-based features (prompt engineering, RAG patterns, API integrations with OpenAI, Azure OpenAI, or similar)
- Knowledge of Oil & Gas, industrial, or asset-intensive domain
- Experience with full-stack development, including React or similar frontend frameworks
- Background in SaaS platforms with multi-tenant architecture
- Exposure to complex data models or domain-driven design
Working Location
- Croatia (Zagreb, Pula) — Hybrid
- Poland — Remote
- Romania — Remote
- UK – Remote
Why You'll Love Working with Us
- Work on software used in safety-critical industries-your work genuinely matters
- Be part of a team actively building AI into the product, not just talking about it
- Flexible working arrangements that fit both you and the role
- Competitive compensation with meaningful additional perks and top-notch equipment
- Real investment in your growth-continuous learning is part of how we work
- Team activities chosen by the team, not the marketing department
- A genuinely engaged, helpful, and passionate group of people to work alongside
