Top Tech Jobs & Startup Jobs

Build and own AI/LLM-assisted product features in Ruby on Rails: integrate LLM APIs, design production safeguards, improve reliability/latency/cost, write automated tests, debug production issues, and iterate on system behavior.

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.

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 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.

Build and ship AI/LLM-assisted features in Ruby on Rails: integrate LLM APIs, implement retrieval/context patterns, ensure reliability, tests, fallbacks, and production safeguards, and maintain system performance, security, and accuracy.

Senior backend engineer owning feature implementation to production. Build and maintain Ruby on Rails systems, write unit/integration/E2E tests, improve performance and reliability, collaborate with product and engineers, and ensure long-term code quality.

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.

Build and productionize core AI systems using Python, OpenAI APIs, embeddings and vector databases. Implement multi-agent frameworks, async pipelines, background jobs, PostgreSQL, Docker and GitLab CI. Deliver clean API integrations with strong testing, logging, and monitoring. Work independently and with distributed teams to influence architecture and ship reliable systems.

Build and operate core AI systems using Python and LLM tooling. Design async pipelines, background jobs, and clean API integrations. Implement embeddings and vector DB solutions, multi-agent frameworks, testing, logging, and monitoring while collaborating with distributed teams to deliver production-ready systems.

Build and own AI/LLM-assisted product features in Ruby on Rails: integrate LLM APIs, implement prompts and retrieval patterns, ensure reliability, security, and performance, write automated tests, debug production issues, and improve system behavior over time.