At a Glance
- Tasks: Build innovative AI agents to optimise Treasury operations and enhance funding processes.
- Company: Join a leading fintech company revolutionising global funding operations.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Other info: Collaborative environment with strong mentorship and career advancement opportunities.
- Why this job: Make a real impact in fintech while working with cutting-edge AI technologies.
- Qualifications: Advanced coding skills and experience in complex system architecture required.
The predicted salary is between 70000 - 90000 £ per year.
We're looking for a builder who moves fast from idea to production — someone who can own agentic systems end-to-end and directly increase the operational capacity of the Treasury team.
- Advanced proficiency with coding agents across complex development scenarios.
- Experience architecting multi-service systems, including complex persistence, integrations, and scaling.
- Understanding of distributed systems tradeoffs and cloud-based infrastructure design.
- AI tool fluency: orchestrators, automated workflows, comprehensive evaluation pipelines.
- Advanced systems architecture expertise across the full technology stack.
- Proficiency in customer discovery techniques and ability to connect technical work to business outcomes.
- Competence with design thinking, analytics tools, and funnel analysis.
- Experience guiding others on AI-first development approaches.
- Expertise in experiment modelling, funnel analysis, and data-informed decision making.
- Track record of mentoring others and elevating team capabilities.
- (Desirable) Treasury, fintech, or payments domain knowledge (cash positioning, FX, liquidity).
- (Desirable) LLM observability tools: LangSmith, Arize, Weights & Biases.
- (Desirable) AWS (S3, Glue, Redshift, Lambda); TMS/financial data providers (Bloomberg, Kyriba).
- (Desirable) Startup, founder, or cross-functional multi-product experience.
What the job involves:
- The Treasury team manages Remitly's global funding operations — optimising liquidity positions, managing funding corridors, and ensuring capital is available wherever it's needed.
- Reporting to the Head of Treasury Analytics & Data Science (London), this London-based (hybrid) role sits at the intersection of LLMs, Treasury operations, and data infrastructure.
- Cash flow monitoring agents: intraday cash position tracking, reconciliation, variance flagging, and automated daily reports across accounts and currencies.
- Funding execution agents: instruction routing, approval workflows, payment scheduling, cut-off monitoring, and settlement tracking — encoded with business rules and risk parameters.
- Narrative agents: auto-generated end-of-day and intraday funding commentary, exception summaries, and context-aware alerts delivered to the right stakeholders.
- Discovery-to-deployment pipeline: structured sessions with Funding operators to identify manual tasks, then ship agents that eliminate them — reporting packs, utilisation dashboards, liquidity summaries.
- Embed within the Funding team at the outset — running existing workflows end-to-end alongside operators to develop a first-hand understanding of day-to-day processes, limitations, and pain points before a single agent is scoped or built.
- Build reusable, modular agent components and tool libraries that scale as Remitly expands into new markets and corridors.
- Contribute to Treasury-wide agent governance standards, evaluation frameworks, and shared infrastructure.
- Research and recommend emerging LLM capabilities and agentic tooling to keep the Funding function ahead of the curve.
- Partner closely with the Treasury Engineering team to develop the data accuracy, completeness, and timeliness required by Treasury Agents.
Senior AI Native Software Engineer employer: Remitly
At Remitly, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters creativity and collaboration. Our London office provides unique opportunities for professional growth, with access to global teams and cutting-edge tools, ensuring that you can thrive in your role as a Global Marketing Campaign Delivery Lead. We value our employees' contributions and support their development through continuous learning and innovative projects, making it a rewarding place to build your career.
StudySmarter Expert Advice🤫
We think this is how you could land Senior AI Native Software Engineer
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at Remitly or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to Remitly.
✨Tap into Online Developer Communities
Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like Remitly.
✨Explore Job Boards Specifically for Tech Roles
Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like Remitly that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!
We think you need these skills to ace Senior AI Native Software Engineer
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Remitly.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Remitly and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at Remitly
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Remitly uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
