Careers · AI Delivery
AI Engineer (RAG & Agents)
Build grounded RAG systems, agent workflows, and AI features that stay accurate — confirm-before-save, not hallucinate-and-hope.
What you will do
- Design retrieval pipelines, evaluation sets, and tool-using agents for client and product use cases
- Integrate LLMs safely with documents, structured data, and human approval steps
- Partner with engineering to ship AI into real products (not demos only)
- Document failure modes, costs, and monitoring for production systems
What you bring
- Hands-on experience with LLM APIs and at least one RAG stack
- Python and/or TypeScript for service code
- Understanding of chunking, embeddings, evals, and prompt failure modes
- Bias toward grounding answers in customer-approved sources
Nice to have
- LangGraph / agent orchestration experience
- AWS, Azure, or GCP deployment for AI services
- Prior work on WhatsApp or document automation
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