nexos.ai

Backend Engineer | Mid-Senior | Go

nexos.ai
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4 months ago
Vilnius, LithuaniaMid Level / Senior

Responsibilities

  • Build and improve features that enable the AI orchestrator to deliver personalized experiences.
  • Develop clean, reliable, scalable, performant, and secure Go-based code.
  • Design, build, and maintain Go microservices with other developers.
  • Own services end to end, including implementation, deployment, monitoring, and ongoing improvement.
  • Adapt quickly and ship solutions in a fast-paced, evolving startup environment.

Requirements

  • Experience creating scalable, stable, and secure software with Go.
  • Experience with distributed technologies, NoSQL databases, high-load applications, and microservices architecture.
  • Familiarity with system design, Domain-Driven Design principles, and selecting appropriate design patterns.
  • Interest in secure and compliant backend architecture and technologies.
  • Ability to balance speed and quality in a startup environment.
  • Collaborative approach to discussing, rethinking, and redesigning technical ideas.

Benefits

  • Professional growth through internal and external events, online training, conferences, and books.
  • Health benefits including private health insurance, workouts, sports access, and consultations.
  • Company-sponsored team buildings, parties, food coupons, and gifts.
  • Additional vacation days based on tenure.
  • Additional paid leave for illness or special occasions.
  • Flexible working time arrangement.

Tech Stack

Categories

nexos.ai

About nexos.ai

51-200 employees

Nexos.ai builds an AI Gateway and Workspace that give companies a single, EU-hosted API and no-code layer to access, route, and monitor 200+ models (Claude, GPT, Gemini, Mistral). The platform adds spend tracking, rate limiting, failover, and compliance controls, letting teams swap providers without rewriting code. Founded in 2024 and headquartered in Vilnius, the privately held company sells usage-based SaaS to engineering and operations teams deploying LLM-powered workflows.

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