AI Engineer(CET Timezone) - Remote

- Design the technical architecture for an AI-powered voice and browser-agent pipeline.
- Build and deploy production-ready AI workflows using Python and modern LLM tooling.
- Develop the voice agent conversation flow for issue classification, troubleshooting, escalation, and appointment confirmation.
- Implement RAG workflows for installation manuals, error codes, troubleshooting instructions, and internal knowledge bases.
- Design a robust retrieval strategy using embeddings, vector search, metadata filtering, chunking, reranking, and evaluation.
- Build workflow orchestration using LangChain and n8n.
- Integrate the solution with Supabase for database management, authentication, APIs, vector search, storage, and application data.
- Build or integrate a browser agent using Hyperbrowser to navigate the existing ERP/CRM interface and create appointments.
- Design safeguards for browser automation, including validation, retries, fallback handling, and auditability.
- Develop evaluation frameworks for AI responses, retrieval quality, tool usage, task completion, and conversation outcomes.
- Set up A/B testing, feature flags, prompt/version management, monitoring, and production experimentation.
- Implement observability using LangWatch and error tracking through Sentry.
- Ensure the system is modular, maintainable, testable, secure, and production-ready.
- Collaborate with Product, Engineering, and client stakeholders to clarify workflows, define success criteria, and communicate technical trade-offs.
- Support deployment and maintenance through GitHub and Vercel.

Time: CET time - VNT: 1PM - 10PM

- Fluent English (C1/C2 level) – Able to communicate complex technical concepts smoothly with international clients
- Has 4+ years of experience in applied AI/ML with production deployments
- Strong programming skills in Python (TypeScript a plus)
- Hands-on experience with LangChain and workflow orchestration (n8n)
- Familiarity with Supabase (DB, APIs, auth, vector search, storage)
- Experience with feature-flag systems (LaunchDarkly or similar)
- Comfortable building evaluation frameworks, A/B tests, and monitoring systems
- Strong knowledge of embeddings, vector DBs, and RAG workflows
- Solid engineering practices: modular, testable, maintainable code

- Receive 100% salary from the onboarding date.
- Participate in company activities: teambuilding, travel, vacation and other activities.
- Work with large and advanced systems, have the opportunity to develop comprehensive technology skills with complex problems, requiring high accuracy.