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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, cloud platforms, and strong Python skills required.
- Other info: Dynamic role with mentorship opportunities and exposure to the latest AI technologies.
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.
- 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 employer: Investigo Limited
Contact Detail:
Investigo Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Gen AI Engineer
✨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 practical projects. Showcase your skills by working on Gen AI solutions or contributing to open-source projects. This not only boosts your portfolio but also gives you real-world examples to discuss during interviews.
✨Tip Number 3
Prepare for technical interviews by brushing up on your knowledge of LLMs and prompt engineering. Practice coding challenges and be ready to explain your thought process. We all know that confidence is key!
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for talented Gen AI Engineers like you. Plus, it’s a great way to ensure your application gets the attention it deserves.
We think you need these skills to ace Gen AI Engineer
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. Keep it concise but impactful – we love a good story!
Showcase Your Technical Skills: Don’t forget to showcase your technical skills in your application. Mention your experience with Python, cloud platforms, and any frameworks like LangChain or Microsoft Agents SDK. We’re keen to see your expertise in action!
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any updates. Plus, it’s super easy – just a few clicks and you’re done!
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 mentored others, as this will demonstrate your ability to work well in a team environment.
✨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 help illustrate your analytical skills and your proactive approach to problem-solving.
✨Familiarise Yourself with Cloud Platforms
Since the job requires experience with cloud platforms like Azure and AWS, make sure you can talk about your experience with these technologies. Be ready to discuss how you've implemented Gen AI solutions in the cloud and any relevant tools or frameworks you've used, such as CI/CD pipelines and MLOps practices.
