ai engineer for an AI-first CRM

TextYess is an AI-first CRM that turns conversations across on-site channels, WhatsApp, email, and voice into revenue. Its AI agents autonomously sell to, support, and retain customers for B2C brands.

• Build the agentic runtime for proactive agents, including context building, tool and retrieval orchestration, scoring, and guardrails
• Own production components from day one and make decisions about signal versus noise
• Improve grounding by addressing retrieval, prompt, and evaluation issues
• Combine exact-match and semantic search in a single ranking system
• Improve multilingual response quality
• Profile requests, test prompt and model changes, and ship measurable latency and cost improvements
• Improve the golden-dataset harness so evaluations predict production quality
• Rank, score, and suppress proactive insights so agents interrupt customers only when warranted

• At least 2 years of professional software development experience
• Experience shipping at least one LLM feature used by real users, such as a chatbot, RAG system, or agent; a weekend project does not qualify
• Practical knowledge of RAG, including embeddings, vector search, chunking, reranking, and their failure modes
• Ability to analyze production traces and identify whether issues stem from retrieval, prompts, or tool selection
• Strong Python and backend fundamentals
• Measure latency, cost, and quality rather than relying on guesses
• Будет плюсом: search infrastructure (Elastic, Algolia, Qdrant, Weaviate), fine-tuning, graph search, knowledge of e-commerce operations

• Условий в вакансии нет