Senior Backend Engineer (.NET, AI​/ML

We are developing an enterprise-grade platform for contact centers that enables omnichannel customer communication (voice, chat, messaging, AI-driven interactions).

The platform is actively evolving and includes AI/ML components in production (including generative AI and speech-to-text solutions). The system is built on a microservices architecture and supports high-load enterprise use cases.

Key functional areas include:

• Communication processing
• Transcription services
• Analytics
• AI-powered features

The product is in a mature growth stage with ongoing modernization, including cloud adoption, scalability improvements, and expansion of AI capabilities.

We are looking for a Senior Backend Engineer to work at the intersection of backend development and AI-powered solutions
.

You will be responsible for designing, building, and operating scalable, high-performance systems, as well as contributing to architecture and product decisions.

• 7+ years of experience in software development (backend-focused).
• Strong expertise in .NET (core technology stack).
• Hands-on experience with cloud-based solutions (3+ years).
• Experience designing and building scalable, high-load systems.
• Understanding of modern database technologies and architectures.
• Experience working with AI tools or generative models as productivity tools, with awareness of their limitations.
• Strong engineering mindset with focus on performance, reliability, and code quality.
• Ability to work in cross-functional teams and communicate across engineering, AI, and product domains.
• Comfortable working in fast-evolving environments.
• English level B2 and higher (spoken and written).

• Experience with Python (AI/ML integrations, data processing, transcription services).
• Experience integrating AI/LLM solutions.
• Experience with speech-to-text / transcription systems.
• Understanding of microservices architecture.
• Experience working in cross-functional product teams.

• Design, develop, and operate reliable, scalable backend systems (cloud and on-premise).
• Take ownership of delivered services and their performance in production.
• Collaborate closely with product, business, and AI teams to translate requirements into technical solutions.
• Participate in architecture discussions and contribute to system design.
• Conduct code reviews and support engineering best practices.
• Continuously improve development processes, testing, and release cycles.
• Build deep understanding of system behavior to optimize and extend functionality.
• AI/ML:
  Generative AI, LLM integrations.
• Cloud: AWS (or similar).
• Strong engineering culture with focus on continuous improvement and experimentation.
• Active adoption of AI tools in development processes.
• Regular knowledge-sharing sessions on AI tools and best practices.
• Cross-team collaboration (engineering, AI, product).