About the role

As we enter an exciting new phase of rapid growth, we're building a next-generation backend architecture that will redefine fintech globally. We're looking for technically strong product-minded professionals who thrive at the intersection of engineering and product management, and who have experience driving end-to-end product development. This role will focus on shaping and scaling critical fintech capabilities including money movement flows, robust global third-party financial integrations, and foundational ledger support.

We're seeking individuals who can combine deep technical understanding with strong product ownership, working closely with engineering, business, and cross-functional stakeholders to define strategy, prioritize execution, and deliver impactful solutions at scale. If you're excited about building complex fintech products within an international and diverse team, we encourage you to apply.

What will you be doing

Own problems end-to-end: from idea → prototype → production
Build AI-native products (LLMs, agents, automation workflows)
Rapidly prototype solutions using modern AI tools (Cursor, GPT, etc.)
Work directly with stakeholders to understand problems and ship solutions
Design and implement agentic workflows, copilots, and internal tools
Define product direction while building (no heavy PM handoffs)
Continuously improve systems using feedback loops and data

We would love to get to know you if you have the following:

Bachelor's degree in Computer Science or a related field, with 6 to 10 years of proven experience in a software engineering role.
Comfortable working in ambiguity and 0→1 environments
Product intuition - you can decide what to build, not just how
Hands-on experience building with LLMs, RAG, agents, APIs and proficient in at least one backend programming language such as Golang, PHP, Python, Java, etc.
Ability to ship fast and iterate quickly
Experience building real-world AI use cases (not just experiments)
Demonstrated work: live projects, GitHub, or shipped systems
Solid understanding of software architecture principles, distributed systems design patterns, and domain-driven design.
A strong focus on code quality, adhering to best practices, and a demonstrated ability to ensure high standards through meticulous development and testing.
Excellent communication and interpersonal skills, fostering effective teamwork and cross-functional collaboration.

Nice to have:

Built internal tools, copilots, or automation systems that drove real impact
Experience with:
Prompt engineering / evals
Vector DBs, embeddings
Workflow orchestration (LangChain, etc.)
Domain expertise within the Fintech industry, understanding the unique challenges and opportunities.

What success looks like

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Ships production-ready AI features in days, not weeks
Reduces manual workflows using AI automation
Acts as a force multiplier for the team
Bridges product gaps without waiting for specs

Why this role

You'll work on high-impact problems in a fast-growing global fintech and help shape how we build with AI at Aspire.

Lead AI Product Engineer