Senior AI Engineer (Enterprise AI Platform) : £90k+ : London hybrid

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.

The Role

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.

Key Responsibilities

• 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

Required Skills & Experience

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

What's on offer

• 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