Principal Engineer – AI

About This Opportunity

We are representing a confidential enterprise SaaS organization seeking a Principal Engineer - AI to join their London-based team. Our client is building cutting-edge AI capabilities into their platform, and this role will be instrumental in bringing generative AI features to production that empower business users in their planning workflows.

Responsibilities

• Lead the architecture, design, and deployment of scalable Generative AI and Machine Learning systems into production environments
• Develop end-to-end GenAI features including backend API services, model integration, monitoring, evaluations and deployments
• Integrate and optimise LLMs for specific use cases in business planning, including prompt engineering and RAG implementation
• Build conversational interfaces and agentic workflows that make complex planning tasks accessible through natural language
• Implement evaluation frameworks to measure and improve GenAI feature quality, including accuracy, latency, and user satisfaction metrics
• Design and develop APIs that expose AI capabilities to the platform and third-party integrations
• Optimise model inference pipelines for performance, cost, and scalability in production environments
• Implement monitoring, logging, and observability for GenAI systems to track usage, errors, and model behaviour
• Collaborate with data scientists to productionise ML models and forecasting algorithms

What We're Looking For

Required:

• Extensive hands-on professional experience in Artificial Intelligence, Machine Learning, or related engineering domains
• End-to-end exposure in model lifecycle development, including extensive experience training and deploying ML models in production environments
• Deep knowledge of LLM APIs, prompt engineering, and conversational AI patterns
• Experience in fine-tuning LLMs for domain-specific enterprise applications
• Strong expertise in MLOps and LLMOps, ensuring scalable, reliable, and monitorable model deployments
• Experience with agentic frameworks and autonomous agent architectures
• Proficiency in Python and modern software development practices (testing, code review, CI/CD)
• Proven track record of delivering complex technical projects on time with high quality

Desirable:

• Advanced degree (Master's or Ph.D.) in Computer Science, Artificial Intelligence, Machine Learning, or a strongly related quantitative field
• Hands-on experience with cloud-native ML infrastructure platforms
• Knowledge of vector databases (Pinecone, Weaviate, Qdrant) and embedding models
• Experience with model serving frameworks (vLLM, TensorRT, Ray)
• Experience with A/B testing and experimentation frameworks for AI features
• Contributions to open-source ML projects or research publications
• Experience with model observability tools (LangSmith, W&B, MLflow)

How We Work With You

When you apply through Get A Job.ai, our talent team will conduct an initial screening to understand your experience and career goals. If there's a strong match, we will submit your profile to our client for consideration. Please do not contact the client directly, as all applications must be coordinated through our recruitment process to be considered.

Pay

Compensation details will be discussed during the screening process and are competitive for a Principal Engineer level role in the London market.

Equal Employment Opportunity

Get A Job.ai is committed to fair and equitable recruitment practices. We welcome applications from all qualified candidates regardless of background, identity, or characteristics. We celebrate diversity and are dedicated to creating an inclusive environment for all applicants.