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- Tasks: Implement Gen AI solutions and collaborate with tech and business teams across EMEA.
- Company: Leading financial services firm with a focus on innovation.
- Benefits: Competitive daily rate, flexible work schedule, and opportunities for contract extensions.
- Why this job: Join a cutting-edge team and shape the future of AI in finance.
- Qualifications: Experience in Gen AI solutions and strong collaboration skills required.
- Other info: Dynamic role with potential for growth in a fast-paced environment.
The predicted salary is between 46800 - 54600 £ per year.
My client, a leader in Financial Services, are looking for an AI Engineer with hands-on implementation of Gen AI solutions required on a contract basis for 6 months plus extensions, with 2 days per week in London. Our client is looking at a pay rate of £650 - £700 per day inside IR35.
Role & Responsibilities
- Working with business and technology stakeholders and contributing hands-on to the delivery of Gen AI-enabled application development across the EMEA region.
Key Responsibilities
- Hands-on implementation of Gen AI solutions based on approved designs and architectural standards.
- Develop, fine-tune and optimise LLMs and Gen AI models for production use.
- Build, maintain and enhance prompt engineering strategies and retrieval-augmented generation (RAG) pipelines.
- Collaborate with architects, cloud teams and business stakeholders to ensure secure, scalable and robust deployments.
- Conduct unit and integration testing, troubleshoot issues and support smooth releases into production.
- Maintain accurate documentation for code, processes and configurations.
- Monitor, analyse and improve model performance post-deployment.
- Partner with Cloud teams to enable secure and maintainable Gen AI solutions aligned with enterprise architecture standards.
- Monitor the evolving AI landscape and identify relevant applications for the organisation.
- Guide development teams through solution implementation, testing and deployment.
- Provide guidance and mentorship to other team members.
Required Skills
- Experience delivering architectural or Gen AI solutions within a multi-entity, multi-regional financial services environment.
- Proven experience working with senior stakeholders across business and technology functions.
- Experience architecting and delivering Gen AI solutions across cloud platforms (Microsoft Azure, AWS, OCI, etc.).
- Strong expertise in developing Gen AI solutions in Python using frameworks such as LangChain, LangGraph, Microsoft Agents SDK or similar.
- Experience with CI/CD pipelines and MLOps practices for AI solutions.
- Hands-on experience in model development and fine-tuning.
- Deep expertise in prompt engineering and RAG solution design.
- Performance monitoring and optimisation of AI models.
- Experience developing and deploying APIs using API Gateway.
- Familiarity with Azure cloud services for LLM deployments including App Service, Azure Functions and Logic Apps.
- Experience with Azure AI and data services including Azure OpenAI, Azure Cognitive Services, Azure AI Search, Azure Cosmos DB, Azure Data Lake, Microsoft Purview, Power Platform and Microsoft Graph.
- Expertise in LLM integration patterns such as MCP and A2A.
- Experience designing solutions integrating on-premise and cloud systems within regulated environments.
- Experience using GitHub Copilot or similar AI-assisted development tools.
Gen AI Engineer in London employer: Investigo Limited
Contact Detail:
Investigo Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Gen AI Engineer in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the financial services sector and let them know you're on the lookout for Gen AI Engineer roles. A personal recommendation can go a long way in landing that interview.
✨Tip Number 2
Get your hands dirty with some real-world projects. Whether it's contributing to open-source or building your own Gen AI solutions, showcasing your practical experience can really impress potential employers.
✨Tip Number 3
Prepare for those technical interviews by brushing up on your Python skills and familiarising yourself with the latest Gen AI frameworks. We all know that confidence in your technical abilities can make a huge difference!
✨Tip Number 4
Don’t forget to apply through our website! It’s a great way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Gen AI Engineer in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Gen AI Engineer role. Highlight your hands-on experience with Gen AI solutions and any relevant projects you've worked on. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about Gen AI and how your experience makes you a perfect fit for the role. Don’t forget to mention your familiarity with cloud platforms and collaboration with stakeholders.
Showcase Your Technical Skills: Be sure to list your technical skills clearly, especially those related to Python, prompt engineering, and CI/CD pipelines. We love seeing candidates who can demonstrate their expertise in developing and optimising AI models!
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any updates from us. Good luck!
How to prepare for a job interview at Investigo Limited
✨Know Your Gen AI Stuff
Make sure you brush up on your knowledge of Generative AI solutions, especially in the context of financial services. Be ready to discuss specific projects you've worked on, particularly those involving LLMs and prompt engineering. This will show that you’re not just familiar with the theory but have hands-on experience.
✨Showcase Your Collaboration Skills
Since the role involves working with various stakeholders, be prepared to share examples of how you've successfully collaborated with both technical and business teams. Highlight any experiences where you guided development teams or partnered with cloud teams to deliver secure and scalable solutions.
✨Demonstrate Problem-Solving Abilities
Expect questions about troubleshooting and optimising AI models post-deployment. Prepare to discuss specific challenges you've faced in previous roles and how you resolved them. This will demonstrate your ability to think critically and adapt in a fast-paced environment.
✨Familiarise Yourself with the Tools
Get comfortable with the tools mentioned in the job description, like Azure services and CI/CD pipelines. If you’ve used GitHub Copilot or similar tools, be ready to talk about how they’ve enhanced your development process. Showing familiarity with these tools can set you apart from other candidates.
