Senior AI Engineer at a confidential company - Fast-growing AI-led fintech

Senior AI Engineer at a confidential company - Fast-growing AI-led fintech

Full-Time 70000 - 90000 £ / year (est.) Working from home possible
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At a Glance

  • Tasks: Lead the design and implementation of innovative AI systems for a growing fintech platform.
  • Company: Join a fast-growing AI-led fintech company disrupting the wealth management sector.
  • Benefits: Enjoy a balanced workweek with early Friday finishes and remote work flexibility.
  • Other info: Opportunity for significant technical ownership and career growth in a dynamic environment.
  • Why this job: Make a massive impact on the financial journeys of over 400,000 users.
  • Qualifications: Expertise in AWS and experience with complex multi-agent systems required.

The predicted salary is between 70000 - 90000 £ per year.

As a Senior AI Engineer at Chip, you will lead the technical design and implementation of multi‑agent AI systems for 400,000+ users. You will move beyond simple frameworks to build bespoke orchestration layers and robust infrastructure, working directly with the Head of AI to define the future of wealth management through agentic automation.

Why this role is remarkable:

  • Significant technical ownership to design novel agentic solutions from scratch rather than just configuring existing off‑the‑shelf wrappers.
  • Join a high‑growth fintech disrupting the wealth sector with a structured yet balanced workweek including early Friday finishes.
  • Massive scale impact where your architectural decisions directly power the financial journeys of nearly half a million active users.

What You Will Do:

  • Design and implement bespoke multi‑agent architectures, including orchestration layers, inter‑agent communication protocols, and context persistence systems.
  • Build production‑grade AI infrastructure on AWS using Bedrock, SageMaker, and EventBridge with a focus on observability and cost‑efficiency.
  • Establish engineering standards and evaluation strategies, utilizing models‑as‑judge and human‑in‑the‑loop controls to ensure high‑trust system performance.

The Ideal Candidate:

  • Deep hands‑on experience building and scaling complex multi‑agent systems in production environments, ideally within high‑trust or regulated domains.
  • Expert‑level proficiency in AWS cloud services and full‑stack development to ship end‑to‑end AI solutions autonomously.
  • High‑agency mindset with a track record of solving technical hurdles like hallucination mitigation and large context window management.

Senior AI Engineer at a confidential company - Fast-growing AI-led fintech employer: Jack & Jill

As a Senior AI Engineer at this fast-growing fintech, you will thrive in a dynamic and innovative environment that prioritises technical ownership and creativity. With a structured yet flexible workweek, including early finishes on Fridays, the company fosters a balanced work culture while empowering you to make significant architectural decisions that impact the financial journeys of over 400,000 users. This remote role offers exceptional opportunities for professional growth and the chance to be at the forefront of transforming wealth management through cutting-edge AI solutions.

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Contact Details:

Jack & Jill Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Senior AI Engineer at a confidential company - Fast-growing AI-led fintech

Tip Number 1

Network like a pro! Reach out to people in the fintech and AI space on LinkedIn. Join relevant groups, attend virtual meetups, and don’t be shy about asking for informational interviews. You never know who might have the inside scoop on job openings!

Tip Number 2

Show off your skills! Create a portfolio showcasing your projects, especially those involving multi-agent systems or AWS. Share it on platforms like GitHub or your personal website. This gives potential employers a taste of what you can do beyond just your CV.

Tip Number 3

Prepare for technical interviews by brushing up on your problem-solving skills. Practice coding challenges and system design questions that relate to AI and cloud infrastructure. We recommend using platforms like LeetCode or HackerRank to get in the zone.

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. So, hit that apply button and let’s get you in for an interview!

We think you need these skills to ace Senior AI Engineer at a confidential company - Fast-growing AI-led fintech

Multi-Agent System Design
Orchestration Layer Development
Inter-Agent Communication Protocols
Context Persistence Systems
AWS Cloud Services
Bedrock
SageMaker

Some tips for your application 🫡

Tailor Your CV:Make sure your CV reflects the skills and experiences that align with the Senior AI Engineer role. Highlight your hands-on experience with multi-agent systems and AWS cloud services, as these are key to what we’re looking for.

Craft a Compelling Cover Letter:Use your cover letter to tell us why you’re passionate about AI and fintech. Share specific examples of how you've tackled complex technical challenges in the past, especially those related to agentic automation.

Showcase Your Projects:If you’ve worked on relevant projects, don’t hesitate to include them! We love seeing real-world applications of your skills, especially if they demonstrate your ability to build bespoke solutions from scratch.

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 in our fast-growing team!

How to prepare for a job interview at Jack & Jill

Know Your Tech Inside Out

Make sure you’re well-versed in the specific technologies mentioned in the job description, like AWS services and multi-agent systems. Brush up on your knowledge of Bedrock, SageMaker, and EventBridge, as these will likely come up during technical discussions.

Showcase Your Problem-Solving Skills

Prepare to discuss past experiences where you've tackled complex technical challenges, especially in regulated environments. Be ready to explain how you approached issues like hallucination mitigation and context window management, as these are key to the role.

Demonstrate Your Ownership Mindset

This role requires a high-agency mindset, so be prepared to share examples of when you took ownership of a project or initiative. Highlight how your decisions impacted the overall success of a project, particularly in terms of architectural design and implementation.

Ask Insightful Questions

Interviews are a two-way street, so come armed with thoughtful questions about the company’s vision for AI in wealth management. Inquire about their approach to building bespoke solutions and how they measure success in their AI initiatives. This shows your genuine interest and strategic thinking.