At a Glance
- Tasks: Build innovative backend systems that empower financial freedom across Latin America.
- Company: DolarApp, a mission-driven startup transforming financial solutions.
- Benefits: Competitive salary, equity bonuses, and the latest technology to enhance your skills.
- Why this job: Make a real impact in fintech while working with a talented team.
- Qualifications: 5+ years in software engineering, 3+ years with Python, and strong communication skills.
- Other info: Join a product-oriented company focused on building world-class financial products.
The predicted salary is between 36000 - 60000 £ per year.
Do you want to build robust systems that empower financial freedom? Join DolarApp, a mission-driven startup revolutionising access to dollar-based financial solutions across Latin America. As a Backend Engineer, you’ll design, develop, and maintain scalable, secure, and high-performing backend systems that power our innovative products. You’ll collaborate with a talented team to create solutions that drive financial inclusion and transform the way people manage their money. If you’re excited to solve complex challenges and make a meaningful impact in a fast-growing company, we’d love to hear from you!
What you'll be doing:
- You will be responsible for building agentic infrastructure that will power our operations - you will build customer support bots and fincrime AI agents that will redefine how fintech operations are done.
- You will follow a pragmatic approach to develop our business logic, focusing on clean code, with emphasis on maintainability and fast turnaround with TDD, DDD and continuous integration & delivery.
Minimal requirements:
- 5+ years of experience working as a software engineer with 3+ years of engineering with Python as your primary language.
- Experience working with Postgres (or other relational) database.
- An academic background in STEM.
- Quick learner with an ambitious and results driven personality, with excellent communication skills (English fluency, verbal and written).
Nice to haves:
- Experience with LangChain & LangGraph.
- Experience with LLM APIs (OpenAI, Google or Anthropic).
- Experience with AWS, K8s, Gitlab, monitoring, and alerting.
Benefits:
- Competitive salary and sign-on equity bonus.
- Discretionary performance equity bonus.
- Latest technology to work with.
- Strong team that will help you improve your skills.
- Own the development process end-to-end and deliver customer impact.
About Us:
At DolarApp we strive to change the way hundreds of millions of people in Latin America approach their everyday finances. We are a product-oriented company: do not expect to be working on legacy products but building world-class financial products from the ground up. We’ve hired some of the most talented people out there who have done it before – and we want you to join them.
Senior Python Engineer | AI Agents employer: Castleisland
Contact Detail:
Castleisland Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Python Engineer | AI Agents
✨Tip Number 1
Network like a pro! Reach out to people in the fintech space, especially those who work at DolarApp or similar companies. A friendly chat can open doors and give you insights that might just land you an interview.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Python projects, especially any that relate to AI or financial systems. This is your chance to demonstrate your expertise and passion for the role.
✨Tip Number 3
Prepare for the technical interview by brushing up on your coding skills and understanding of TDD and DDD. Practice common algorithms and system design questions to impress the hiring team with your problem-solving abilities.
✨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, it shows you’re genuinely interested in joining the DolarApp team.
We think you need these skills to ace Senior Python Engineer | AI Agents
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the Senior Python Engineer role. Highlight your Python expertise and any relevant projects you've worked on, especially those involving financial systems or AI.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about financial inclusion and how your background makes you a great fit for DolarApp. Share specific examples of your work that demonstrate your problem-solving skills and ability to work in a team.
Showcase Your Technical Skills: Don’t forget to mention your experience with Postgres and any other technologies listed in the job description. If you’ve worked with LangChain, LLM APIs, or AWS, make sure to include that too – we love seeing relevant tech 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 the role. Plus, it shows us you’re keen on joining our mission-driven team!
How to prepare for a job interview at Castleisland
✨Know Your Tech Stack
Make sure you’re well-versed in Python and any other technologies mentioned in the job description, like Postgres. Brush up on your knowledge of TDD, DDD, and CI/CD practices, as these will likely come up during technical discussions.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific challenges you've faced in previous roles, especially those related to building scalable systems or AI agents. Use the STAR method (Situation, Task, Action, Result) to structure your answers and highlight your impact.
✨Understand the Company’s Mission
DolarApp is all about financial inclusion in Latin America. Familiarise yourself with their products and mission. Be ready to explain how your skills can contribute to their goals and why you’re passionate about making a difference in fintech.
✨Ask Insightful Questions
Prepare thoughtful questions that show your interest in the role and the company. Inquire about their approach to developing AI agents or how they measure success in their projects. This not only demonstrates your enthusiasm but also helps you gauge if the company is the right fit for you.