Senior AI Engineer – Production Conversational & Voice AI

Hunter Bond; Greater London; On-site; GBP 90,000 - 130,000; Full time

Job summary

Hunter Bond is seeking a Senior AI Engineer to design, build and deploy production-grade AI solutions across conversational AI, Agentic AI, RAG and voice technologies. The role focuses on scalable architectures, real-time processing and close collaboration with architecture, security and data governance teams.

The ideal candidate has 4+ years in AI engineering, proven success delivering RAG/LLM/Agentic AI systems into production, and strong cloud, API and MLOps familiarity.

Qualifications

• 4+ years in AI engineering
• Experience delivering RAG, LLM and Agentic AI systems into production
• Strong knowledge of conversational AI and multi-turn dialogue
• Production experience with voice AI / STT / TTS
• Experience with cloud platforms — AWS, GCP or Azure
• Strong understanding of APIs, microservices, Docker and Kubernetes
• Experience with LangChain, LangGraph or LlamaIndex
• Experience with vector databases such as Pinecone or Azure AI Search
• Strong communication skills and experience working with senior technical stakeholders

Responsibilities

• Design and deploy scalable AI Agents and conversational AI solutions
• Build advanced RAG architectures, including hybrid search, re-ranking and vector retrieval
• Develop production-grade voice AI, including STT, TTS and real-time audio processing
• Fine-tune and optimise LLMs, prompts and retrieval strategies
• Build AI infrastructure, APIs and monitoring for production environments
• Work closely with Architecture, Security, Data Governance and other stakeholders
• Evaluate and introduce emerging AI technologies where they add business value

Skills

AI engineering

RAG systems

LLMs production

Conversational AI

Voice AI

Cloud platforms

APIs & microservices

LangChain/LangGraph/LlamaIndex

Vector databases

Docker & Kubernetes

Stakeholder communication

Job description

Hunter Bond is seeking a Senior AI Engineer to design, build and deploy production-grade AI solutions across conversational AI, Agentic AI, RAG and voice technologies. The role focuses on scalable architectures, real-time processing and close collaboration with architecture, security and data governance teams.

The ideal candidate has 4+ years in AI engineering, proven success delivering RAG/LLM/Agentic AI systems into production, and strong cloud, API and MLOps familiarity.