Senior AI Engineer

📋 Description Design and build AI platform services exposing GenAI models, knowledge pipelines, and agents. Develop knowledge retrieval systems and embedding pipelines for documents. Make content AI-ready: optimize structure, reduce ambiguity, add metadata. Set up AI Ops, evaluations and observability for quality and cost. Act as Centre of Excellence for AI/LLMs; set best practices. Governance layers for PII redaction and prompt filtering. 🎯 Requirements Deep GenAI & RAG: 2+ yrs building production LLM apps; vector DBs. Async Python: asyncio, FastAPI for highly concurrent LLM calls. Advanced context engineering: contexts, metadata, semantic routing. Modern software practices: Git, tests, CI/CD; AWS. Comfort with ambiguity: prototype quickly; validate with metrics. Local/open-weight deployment: vLLM/Ollama; open-weight models. 🎁 Benefits Salary discussed on call with recruiters. Unique culture with autonomy and a perks hub. Equal opportunity employer; inclusive environment.