Principal Engineer – AI

About This Opportunity

Our talent team at Get A Job.ai is representing a confidential enterprise SaaS organization seeking a Principal Engineer - AI for their London office. This is an exceptional opportunity to lead the development of production-grade generative AI systems that empower business users in their planning and analytics workflows.

In this role, you'll architect and deploy scalable AI features across the full stack—from LLM integration and prompt engineering to building intuitive user interfaces. You'll work at the intersection of deep machine learning expertise and strong software engineering practices to deliver AI capabilities that make complex business tasks accessible through natural language.

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 optimize LLMs for specific business planning use cases, 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 platform and third-party integrations
• Optimize 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 behavior
• Collaborate with data scientists to productionize ML models and forecasting algorithms

What We're Looking For

Required Skills and Experience:

• 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 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 Qualifications:

• 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 recruitment team will screen your application and qualifications. If there's a strong match, we'll conduct an initial conversation to understand your background and career goals. We'll then present qualified candidates to our client for their consideration. Please note that you should not contact the client directly—all communication and coordination will flow through our talent team to ensure the best experience for everyone involved.

Pay

Compensation details will be discussed during the screening process based on experience and qualifications.

Equal Employment Opportunity

Get A Job.ai is committed to fostering an inclusive recruitment process. We welcome applications from candidates of all backgrounds and provide reasonable accommodations as needed during the application and interview process.