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- Tasks: Design and build an AI-driven automation platform from scratch.
- Company: Reputable investment-focused organisation with a collaborative culture.
- Benefits: Competitive salary up to £120,000, hybrid work, and impactful projects.
- Other info: Opportunity to shape AI applications in financial systems.
- Why this job: Make a real impact by transforming complex workflows into automated systems.
- Qualifications: Strong Python, SQL skills, and experience in automation engineering.
The predicted salary is between 120000 - 120000 £ per year.
We’re partnering with a highly regarded investment-focused organisation to hire an Applied AI / Automation Engineer into their London team. This is a hands-on, high-impact role focused on building an intelligent automation platform that transforms complex operational workflows into scalable, production-grade systems.
The Role
You’ll take ownership of designing and delivering an end-to-end AI-driven reporting and automation platform, working closely with Data Science and operational stakeholders. This is a build-from-scratch opportunity — ideal for someone who enjoys solving real-world complexity and turning manual processes into robust, automated systems.
What You’ll Be Doing
- Designing and building an automated reporting platform from the ground up
- Creating intelligent workflows across data ingestion, validation, and reconciliation
- Implementing AI-driven and agent-based automation to streamline operations
- Introducing exception handling and human-in-the-loop systems where needed
- Ensuring systems are accurate, auditable, and production-ready
- Partnering closely with product and operations teams to translate business problems into scalable solutions
- Evolving tooling into a maintainable internal product, not just scripts
What They’re Looking For
- Strong experience in Python, SQL, and automation engineering
- Proven track record building data pipelines and production systems
- Experience integrating systems via APIs and structured data feeds
- Solid understanding of CI/CD, testing, and system reliability
- Strong systems thinking and end-to-end architecture capability
- Ability to work closely with non-technical stakeholders
Nice to have:
- Experience in financial services / regulated environments
- Exposure to reconciliation, accounting, or control processes
- Experience with workflow orchestration tools or internal platforms
- Frontend/tooling exposure (e.g. React / TypeScript)
Why Join?
- Opportunity to build a greenfield AI platform with real business impact
- Work at the intersection of AI, automation, and complex financial systems
- Highly collaborative environment with strong technical ownership
- Chance to shape how AI is applied to real-world operational workflows
Remote Engineer:in (m/w/d) employer: Annapurna
Contact Detail:
Annapurna Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Remote Engineer:in (m/w/d)
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect on LinkedIn. We all know that sometimes it’s not just what you know, but who you know that can help you land that dream role.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your projects, especially those related to AI and automation. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by practising common technical questions and scenarios relevant to the role. We recommend doing mock interviews with friends or using online platforms to get comfortable with the format.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best 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 Remote Engineer:in (m/w/d)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the job description. Highlight your Python, SQL, and automation engineering experience, as well as any relevant projects you've worked on. We want to see how you can bring value to our team!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're excited about building an AI-driven reporting platform and how your background makes you the perfect fit. Keep it engaging and personal – we love getting to know our applicants!
Showcase Your Problem-Solving Skills: In your application, share examples of how you've tackled complex problems in the past. Whether it's designing automated systems or working with non-technical stakeholders, we want to see your thought process and how you approach challenges.
Apply Through Our Website: We encourage you to apply directly 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 important updates. Plus, it’s super easy!
How to prepare for a job interview at Annapurna
✨Know Your Tech Inside Out
Make sure you brush up on your Python, SQL, and automation engineering skills. Be ready to discuss specific projects where you've built data pipelines or production systems, as this will show your hands-on experience and technical prowess.
✨Understand the Business Context
Since you'll be working closely with non-technical stakeholders, it's crucial to understand how your role fits into the bigger picture. Familiarise yourself with the financial services sector and think about how AI can solve real-world problems in that space.
✨Prepare for Problem-Solving Questions
Expect to face questions that assess your systems thinking and end-to-end architecture capability. Prepare examples of how you've tackled complex operational workflows and turned them into automated systems, showcasing your problem-solving skills.
✨Show Your Collaborative Spirit
This role is all about teamwork, so be ready to discuss how you've partnered with product and operations teams in the past. Highlight your ability to communicate effectively with both technical and non-technical team members to ensure everyone is on the same page.