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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 difference by transforming complex workflows into automated systems.
- Qualifications: Strong Python, SQL skills, and experience in automation engineering.
The predicted salary is between 100000 - 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 employer: Annapurna
Contact Detail:
Annapurna Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Remote engineer
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those already working in AI and automation. A friendly chat can lead to insider info about job openings that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your projects, especially those involving Python, SQL, and automation. This gives potential employers a taste of what you can do before they even meet you.
✨Tip Number 3
Prepare for interviews by brushing up on your systems thinking and end-to-end architecture knowledge. Be ready to discuss how you’ve tackled complex problems in the past and how you’d approach building that AI-driven reporting platform.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Remote engineer
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.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about building AI-driven solutions. Share specific examples of how you've tackled complex problems in the past and how you can bring that expertise to our team.
Showcase Your Projects: If you've built data pipelines or automated systems before, don’t hesitate to include links to your work or describe these projects in detail. We love seeing real-world applications of your skills!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity to shape AI in operational workflows.
How to prepare for a job interview at Annapurna
✨Know Your Tech Inside Out
Make sure you’re well-versed in Python, SQL, and automation engineering. Brush up on your experience with data pipelines and production systems, as these will be key talking points during the interview.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific examples where you've transformed complex workflows into automated systems. Highlight your ability to design and build from scratch, as this role is all about creating innovative solutions.
✨Understand the Business Context
Familiarise yourself with the financial services sector and how AI can impact operational workflows. Being able to translate technical jargon into business value will impress your interviewers.
✨Collaborate and Communicate
Since you'll be working closely with non-technical stakeholders, practice explaining your ideas clearly and concisely. Show that you can bridge the gap between tech and business, making you a valuable asset to their team.