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Conversational AI Engineer

Daniel Sokolov

Full-time · Job · London

About the role

Eighty thousand customer support tickets a month. That's what our clients' teams handle, and our AI assistant already resolves 40% of them automatically. The goal for this year: 65%. Not by cutting corners — by making the assistant genuinely smarter about when to answer, when to escalate, and when to ask a clarifying question. You'll work on the conversational engine: intent detection, context management across multi-turn dialogues, knowledge retrieval from client documentation, and response generation with appropriate tone matching. The stack is LangChain, FastAPI, and a custom RAG pipeline backed by client-specific knowledge bases. We measure everything — resolution rate, customer satisfaction, escalation accuracy — and your work will be evaluated against those numbers weekly. If you like tight feedback loops and measurable impact, this role delivers.

Responsibilities

  • Build and optimize multi-turn conversational AI pipelines
  • Improve intent detection and escalation logic for support scenarios
  • Design RAG workflows for client-specific knowledge retrieval
  • Partner with product to analyze conversation logs and identify failure patterns
  • Ship improvements weekly and track impact on resolution metrics

Requirements

  • 3+ years in software engineering with NLP or chatbot experience
  • Hands-on experience with LangChain and OpenAI API
  • Experience building RAG systems for knowledge retrieval
  • Strong Python skills with FastAPI
  • Comfort with data analysis and metrics-driven development

Benefits

  • Fully remote across UK and EU
  • 25 days PTO plus bank holidays
  • Quarterly performance bonus tied to product metrics
  • Stock options

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Job Type

Full-time

Level

Mid-Level

Language

English

Salary Range

$80k – $100k / year

AI Expertise

NLP & Prompt Engineering Automation & AI Workflows

Skills

python langchain openai api rag fastapi docker sql

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