AI & Data Engineer - RAG, LLMs & Data Pipelines (Remote)

eFinancialCareers; Greater London; On-site; GBP 90,000 - 120,000; Full time

Benefits offered by this job

Remote-first working

Travel to local site when required

Job summary

eFinancialCareers seeks an hands-on AI & Data Engineer to design, build, and productionise AI agents, RAG capabilities and data products for Balance Sheet Modelling. You will collaborate with business, architecture and technology teams to translate use cases into scalable, secure AI solutions in a remote-first setup.

The role focuses on deploying, monitoring and supporting enterprise AI solutions, with responsibilities spanning data pipelines, API integrations and workflow automation using Power

Qualifications

• 5+ years of hands-on AI engineering experience.
• Experience with LLMs, prompt engineering and RAG architectures.
• Strong Python and SQL development skills.
• Experience with Azure Databricks and/or Microsoft Fabric.
• Knowledge of data pipelines and API integration.
• Experience with Microsoft Power Platform and Copilot Studio.
• Experience taking AI solutions from PoC to production.
• Knowledge of DevOps, CI/CD, monitoring and production support.
• Ability to translate business use cases into scalable technical solutions.

Responsibilities

• Design, develop and deploy production-ready AI agents and agentic workflows.
• Build RAG solutions, integrating LLMs with enterprise data and knowledge sources.
• Apply prompt engineering techniques to improve the accuracy, reliability and effectiveness of AI solutions.
• Translate business requirements and use cases into robust technical solutions.
• Build and maintain scalable data pipelines and data products supporting Balance Sheet Modelling and AI use cases.
• Develop reusable AI, data and integration components that can be leveraged across multiple solutions.
• Design and integrate APIs to connect AI capabilities with internal applications, data sources and third-party services.
• Develop workflow automation solutions using Power Platform and Copilot Studio.
• Work with Azure Databricks and/or Microsoft Fabric to process, transform and manage data.
• Implement appropriate testing, DevOps, monitoring and operational controls to ensure solutions are reliable and supportable in production.
• Produce clear technical documentation covering solution design, deployment, configuration and ongoing support.
• Collaborate with AI architects, data teams, engineering teams and business stakeholders throughout the development lifecycle.

Skills

AI Engineering

LLMs & RAG

Python

SQL

Azure Databricks

Microsoft Fabric

Data Pipelines

API Integration

Power Platform

Copilot Studio

DevOps / CI/CD

Tools

Copilot Studio

Power Platform

Microsoft Fabric

Job description

eFinancialCareers seeks an hands-on AI & Data Engineer to design, build, and productionise AI agents, RAG capabilities and data products for Balance Sheet Modelling. You will collaborate with business, architecture and technology teams to translate use cases into scalable, secure AI solutions in a remote-first setup.

The role focuses on deploying, monitoring and supporting enterprise AI solutions, with responsibilities spanning data pipelines, API integrations and workflow automation using Power