AI Engineer (Enterprise AI Platform

Hunter Bond
Charing Cross, United Kingdom
yesterday

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Shift work
Languages
English
Experience level
Senior
Compensation
£ 90K

Job location

Charing Cross, United Kingdom

Tech stack

Artificial Intelligence
Amazon Web Services (AWS)
Azure
Cloud Computing
Continuous Integration
Distributed Systems
Python
Redis
Enterprise Data Management
Core Voice Platform
PyTorch
Large Language Models
Multi-Agent Systems
FastAPI
AI Platforms
Kubernetes
Machine Learning Operations
GPT
Docker

Job description

We are seeking a Senior AI Engineer to design, build, and deploy advanced AI systems with a focus on large language models (LLMs), voice AI, and distributed infrastructure. You will play a key role in architecting enterprise-grade AI platforms, working closely with product, data, and engineering teams to deliver high-impact solutions., * Design and implement LLM-powered applications using modern orchestration frameworks

  • Build scalable pipelines for training, fine-tuning, and deploying AI models
  • Develop and optimize retrieval-augmented generation (RAG) systems
  • Architect and manage vector search infrastructure for high-performance semantic retrieval
  • Integrate voice AI capabilities into applications and services
  • Deploy and manage model serving infrastructure in production environments
  • Collaborate across teams to translate business needs into AI-driven solutions
  • Ensure observability, monitoring, and continuous improvement of AI systems

Requirements

Strong experience with Python and/or Node.js in production environments

Hands-on expertise with LLM frameworks:

  • LangChain, LlamaIndex

Deep experience with PyTorch for model training and fine-tuning

Proven experience with vector databases:

  • Pinecone. Azure Vector Store

Experience building voice-enabled AI systems using:

  • Whisper, ElevenLabs, Azure Speech, Deepgram

Experience deploying models using:

  • TGI, FastAPI

Strong cloud and infrastructure experience:

  • AWS/GCP/Azure, Docker, Kubernetes, Redis

Experience with monitoring and evaluation tools such as LangSmith

Nice to have

  • Experience with multi-agent systems and autonomous workflows
  • Familiarity with enterprise data architectures and security practices
  • Background in MLOps and CI/CD for AI systems
  • Experience working in large-scale enterprise environments

Benefits & conditions

  • Opportunity to work on cutting-edge AI systems at enterprise scale
  • Competitive salary and performance-based incentives
  • Flexible working arrangements
  • Access to leading AI tools, infrastructure, and research
  • Collaborative, high-performing engineering culture

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About the company

We're representing at role at a global enterprise at the forefront of AI-driven transformation, building scalable, production-grade intelligent systems that power real-world business outcomes. The teams operate at the intersection of cutting-edge research and robust engineering, delivering AI solutions across industries at scale.

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