AI Engineer

Job Title : AI Engineer

Location :
London

About the Job you are considering:

The AI Engineer is responsible for designing building and operationalizing AI and agentic capabilities that enable the reimagination of end to end enterprise processes This role focuses on the implementation and optimization of AI models agentic workflows and supporting infrastructure working in close partnership with Solution Architects and Forward Deployed Engineers The AI Engineer ensures that AI solutions are robust scalable explainable and production ready meeting enterprise standards for performance security and governance

Hybrid working:

The places that you work from day to day will vary according to your role, your needs, and those of the business; it will be a blend of Company offices, client sites, and your home; noting that you will be unable to work at home 100% of the time.

Your Role:

AI Agentic System Development

• Design and develop AI-powered applications, including LLM-based and agentic solutions, to drive end-to-end business process transformation.
• Build and orchestrate agentic workflows capable of reasoning, planning, and executing actions across enterprise systems.
• Integrate AI solutions with upstream and downstream applications through APIs, event-driven architectures, and workflow orchestration platforms.

Model Capability Engineering

• Select, configure, fine-tune, and evaluate AI/ML models (e.g., LLMs, embeddings, and classifiers) aligned with business requirements.
• Design and manage Retrieval-Augmented Generation (RAG) pipelines, prompt engineering strategies, and context management frameworks.
• Optimize model performance, cost efficiency, latency, scalability, and reliability for production environments.

Product ionization & MLOps

• Operationalize AI solutions through robust monitoring, logging, evaluation, and continuous feedback mechanisms.
• Collaborate with platform and infrastructure teams to deploy AI models and agents within secure, scalable, enterprise-grade environments.
• Implement governance frameworks, guardrails, and controls to ensure responsible AI usage, including safety, bias mitigation, data privacy, and compliance.

Collaboration & Continuous Improvement

• Partner with Solution Architects to ensure implementations align with approved architectures, standards, and technology roadmaps.
• Work closely with Forward Deployed Engineers, product teams, and business stakeholders to rapidly iterate solutions based on user feedback and measurable business outcomes.
• Contribute to the development of reusable AI components, frameworks, best practices, and accelerators that promote organizational scalability and innovation.

Your Skills:

• Strong software engineering experience, including proficiency in Python and hands-on experience with APIs, microservices, and distributed systems.
• Demonstrated experience designing, building, and deploying AI/ML and Large Language Model (LLM)-based solutions in production environments.
• Hands-on expertise in model evaluation, experimentation, performance optimization, and tuning.
• Solid understanding of data engineering concepts, including data pipelines, feature engineering, and system integration patterns.
• Proven ability to deliver solutions within complex, highly regulated enterprise environments while adhering to security and compliance requirements.

Preferred Qualifications

• Experience with agentic AI frameworks, orchestration platforms, and multi-agent system architectures.
• Familiarity with LLM platforms, vector databases, prompt engineering, and prompt orchestration techniques.
• Knowledge of MLOps practices, including model deployment, monitoring, governance, and lifecycle management.
• Experience in process automation, intelligent decision systems, and workflow optimization initiatives.
• Understanding of Responsible AI principles, including explainability, fairness, governance, risk management, and compliance frameworks.

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