Top Tech Jobs & Startup Jobs

Own and deliver end-to-end backend features in Ruby on Rails at scale. Design and implement AI/LLM-assisted workflows, ensure performance, reliability, security, and maintainability. Write and maintain unit, integration, and E2E tests, debug production issues, and improve system reliability.

Hands-on senior engineer to own end-to-end features in Ruby on Rails, build and run production backend systems, design AI/LLM-assisted features, work with LLM APIs and retrieval strategies, write automated tests, debug production issues, and improve reliability.

Build and operate core AI systems: design production-ready solutions using OpenAI APIs, embeddings and vector databases; implement async pipelines, background jobs, PostgreSQL integration, Docker/GitLab CI deployments; ensure testing, logging, monitoring; collaborate with distributed teams to turn open-ended goals into reliable systems.

Design, build, and operate core AI systems (support, marketing, client orchestration) using LLMs and vector databases. Implement async pipelines, background jobs, and scalable production deployments. Measure performance, iterate, and improve system reliability, logging, and monitoring.

Develop and maintain WPML plugin features, investigate and resolve client issues, debug root causes, write tests and clean code, and improve product reliability based on support insights.

Develop and maintain WPML: deliver new features, strengthen components, debug and fix root causes, support clients, write tests, improve performance, and influence product roadmap.

Build and own AI/LLM-assisted product features in Ruby on Rails: integrate LLM APIs, design robust backend systems with tests, fallbacks, and safeguards, improve reliability/latency/cost/security, and debug production issues.

Senior backend engineer owning feature implementation to production, building and maintaining Ruby on Rails systems at scale, writing automated tests (unit, integration, E2E), improving performance and reliability, and collaborating with product and engineers while working autonomously during EMEA hours.

Build and own AI/LLM-assisted features in Ruby on Rails: integrate LLM APIs, implement retrieval/context patterns and prompts, ensure reliability, tests, fallbacks, performance, security, and production operability.

Design and build production AI systems: integrate OpenAI APIs, embeddings, and vector DBs; implement async pipelines and background jobs; ensure robust SQL/Postgres integrations, Docker CI, testing, logging, and monitoring; collaborate with distributed teams to turn open-ended goals into reliable production services.