Get to know us
Ideals is a global B2B SaaS product company recognized as the most highly rated and customer-centric brand in the secure business collaboration market. Trusted by over 2,000,000 users from 300,000 companies globally, we help people run high-stakes processes and make important decisions with less stress, higher quality, and shorter hours.
Ideals Virtual Data Room (VDR): Secure document sharing and collaboration for due diligence, fundraising, corporate reporting, licensing, clinical trials, and other complex transactions.
Ideals Board: Board and leadership collaboration platform for faster, safer, and more compliant decision-making.
The role
We are looking for a Software Engineer, Backend (.NET) with AI skills who will play a key role in building and scaling secure, high-load VDR services, with the additional opportunity to apply AI patterns to product features.
Your success in this role will be measured first by strong backend fundamentals: reliability, performance, scalability, and maintainability, and second by your ability to enable AI features safely and efficiently, using reusable and well-architected components.
This is a hands-on engineering role within a mature product environment, where engineering quality, observability, and long-term architecture matter.
What you will do
BE Engineering:
Design, develop, and operate production-grade .NET services
Work with .NET Framework 4.7, .NET 8, ASP.NET, Web API, Entity Framework
Design and optimize data models using MS SQL Server / PostgreSQL
Build and run services in AWS, using Docker, Kubernetes, ArgoCD
Ensure service reliability and performance through:
Clear SLIs/SLOs and capacity planning
Caching, retries, backoff strategies, circuit breakers
Secure multi-tenant access control
Own services end-to-end: design, implementation, deployment, monitoring, and support
Contribute to architecture and design reviews
Improve code quality through code reviews, refactoring, and best practices
AI Enablement:
Integrate AI/LLM providers behind clean, provider-agnostic abstractions
Implement retrieval-augmented generation (RAG): chunking, embeddings, vector search
Build safe AI flows with: Context scoping and validation, “Cannot answer” scenarios, Prompt-injection defenses
Add evaluation and observability: Offline and online quality metrics, Monitoring tied to product KPIs
Create reusable AI components (libraries, middleware, templates) adopted by other teams
Share knowledge on safe and scalable AI usage
What you bring
Strong experience with C# / .NET in production environments
Solid knowledge of ASP.NET, Web API, Entity Framework
Experience with relational databases (MS SQL Server, PostgreSQL)
Hands-on experience with AWS
Experience with Docker, Kubernetes, CI/CD pipelines
Understanding of distributed systems, performance tuning, and reliability patterns
Experience working in cross-functional product teams
Strong written and spoken English (B2 level or above)
AI Skills (strong advantage)
Experience with retrieval & vector search (embeddings, chunking, hybrid search)
Integration with LLM providers (Azure OpenAI, AWS Bedrock, or open-source models)
Experience with: structured outputs, streaming responses, provider-agnostic AI abstractions
Knowledge of AI guardrails & evaluation: output validation, quality metrics, safe usage patterns
Ability and willingness to mentor peers in applied AI practices
