EverHelp is 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%.
In 2026, EverHelp received 9 international workplace and employer awards. The company ranked #1 in the Top 30 Inspiring Workplaces in Europe, was named the #1 employer among European companies with 500–4,999 employees, and earned Best-in-Class recognition across 6 categories: Culture & Purpose, Leadership, Inclusion & Belonging, Wellbeing, Employee Voice, and Employee Experience. EverHelp was also named one of the 28 Best Places to Work by Business Intelligence Group — a global award recognizing companies with strong workplace cultures and outstanding employee experience.
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.
EverHelp is building a product portfolio from scratch: Evly (AI customer service), analytics, a voice agent, and Zendesk Migration. We’re looking for a Full-stack Engineer (Agentic Systems) to own end-to-end product development — from the client-facing web layer to backend business logic, including agentic engineering, highload system design, and shipping AI features against real business and product requirements. This is an engineer who turns a product idea into a working, scalable feature by closing the whole stack independently, not just one layer of it.
Your future responsibilities include:
End-to-end feature development: frontend, backend business logic, APIs, and integrations — owning the full stack independently
System design for highload systems: scalability, queues, caching, and resilience under load
Agentic engineering: AI agents, Copilot-style flows, and LLM orchestration (tool/function calling, prompt engineering, memory, fallback logic)
RAG systems: embeddings, vector search, and building/optimizing retrieval pipelines
Working with pre-deployed self-hosted models and integrating LLMs into the product
AI security: data protection, prompt injection defense, access control, handling sensitive data
LLM evaluation & optimization: quality metrics, observability (logging, tracing, latency/cost), and reducing costs without sacrificing quality
Data work: database modeling, SQL and MongoDB (document/NoSQL structures), and preparing data for analytics and AI flows
Independently deploying features on top of existing infrastructure (via pre-built Helm chart templates)
Code review, test coverage, and maintaining the technical health of the codebase
Maintaining up-to-date technical documentation: architecture, API contracts, AI flows
Clarifying requirements, estimating and decomposing tasks, and raising technical risks early (in collaboration with design)
Needed experience & skills:
Frontend
React + Next.js, TypeScript/JavaScript, Vite, TailwindCSS — able to build client applications independently
Understanding of UI state, API integration, and basic attention to UX and interface performance
Backend
Node.js and Python — business logic, REST APIs, WebSockets, integrations
Database design and hands-on work with PostgreSQL and MongoDB; confident SQL
Queues and caching: RabbitMQ, Redis; object storage (S3)
Containerization with Docker; deploying services via existing Helm chart templates
AI / LLM Engineering
Agentic engineering: building AI agents with LangChain, LangGraph, AutoGen, CrewAI, or similar
Tool/function calling, prompt engineering, memory and fallback logic
RAG systems: embeddings & vector search; vector
