Genesis is a full-service international IT company. More than 1,500 people in five countries create products for more than 200 million unique monthly users. We are one of the largest partners of Facebook, Google, Snapchat, and Apple in Eastern Europe. Our ecosystem consists of more than 15 companies and an investment fund.
EverHelp is a company in the Genesis ecosystem. We’re a team of professionals, that’s developing outsourcing support services for plenty of products all over the world at a dynamic tempo. The project launched in 2021, and last year we experienced a yearly growth rate of +82%. Since February 2022, we've managed to preserve all our workplaces and, most importantly, we continue to strengthen our team while maintaining an employee satisfaction rate of over 90%.
Our statement:
We’re against war and unjustified aggression,
We evacuated all the teammates and their families from the frontline, helped them find a new place to live and provided financial support,
We provided the team with charging stations,
We continue to work together for the future of Ukraine.
We are launching this role to strengthen EverHelp’s AI direction and build reliable backend infrastructure for Voice AI, AI agents, and knowledge-based automation. The mission of this role is to turn AI ideas into scalable production systems that improve customer support experience for our clients worldwide.
Your future responsibilities include:
Build and maintain backend infrastructure for AI agent integrations.
Lead development of Voice AI — speech-to-text, TTS, telephony, infrastructure (multilingual including low-resource languages),
Build RAG pipelines and knowledge base systems that enable AI agents to learn from client-specific data and stay current without manual retraining,
Own system reliability: latency, uptime, graceful fallback to human agents, PII handling in compliance with SOC 2 / GDPR,
Contribute to technical vision and architecture decisions alongside the Head of Product and CPO.
Needed experience & skills:
4+ years in backend/DevOps engineering; at least 1 year building production AI/ML systems (not prototypes),
Deep hands-on experience with LLM APIs — prompt engineering, function calling, agentic workflows, multi-turn context management,
Experience designing and maintaining REST/webhook-driven integrations with third-party platforms,
