Senior Backend Engineer (.NET, AI/ML)

About the Project

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.

About the Role

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.

Required Skills (Must-Have):

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).

Nice to Have

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.

Key Responsibilities

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.

Tech Stack:

Backend: .NET (core), Python.
Architecture: Microservices.
AI/ML: Generative AI, LLM integrations.
Cloud: AWS (or similar).

Work Environment:

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).