People on the move deserve a bank that moves with them. Since 2022, Aspora has been building a borderless financial operating system that makes money as mobile and transparent as its users.
Backed by influential venture capitalists like Sequoia Capital, Greylock Partners, Hummingbird Ventures, Y Combinator & Global Founders Capital. We're a team of 75+ across India, the UK, the UAE, EU and the US, working with extreme ownership, radical candour, and an obsession with customer impact.
We celebrate builders who question assumptions, ship fast, and turn regulatory complexity into elegant solutions. If you’re driven to redefine what global banking can be, we’d love to build the future with you.
About the RoleAs an AI Engineer at Aspora, you’ll start by shipping internal automation tools and workflows, and then extend the same AI capabilities into the product. This is a full-stack, production ownership role to build and scale intelligent systems at Aspora.
If you like building systems that actually run in production and you care about reliability, latency, and cost optimization, this role will fit. If you enjoy building from scratch, solving complex distributed-systems challenges, and operating at a pace where ideas turn into shipped features quickly - you’ll feel right at home at Aspora.
What You’ll DoOwn the serving and runtime layer for all LLM-powered features, ensuring low latency, high reliability, and cost efficiency in production.
Integrate LLM and agent capabilities into real product workflows, including tool calling, routing, guardrails, and safe failure modes.
Build reliable, observable AI workflows across product, ops, and data systems, with strong foundations in retries, idempotency, fallbacks, and human-in-the-loop patterns.
Design and operate retrieval and knowledge systems end-to-end, from ingestion and indexing to retrieval and response composition.
Automate and harden operational processes, turning manual workflows into scalable, measurable pipelines.
Own performance, reliability, and operational excellence across AI systems, measuring end-to-end latency, removing bottlenecks, and implementing pragmatic reliability patterns.
Instrument and monitor AI systems in production, tracking quality regressions, drift, prompt failures, and retrieval issues with logs, metrics, and traces.
At least 5 years of experience training, deploying, and scaling AI/ML models in production environments.
You understand the pace and mindset of a startup and are excited to contribute to its growth and culture.
Hands-on experience integrating third-party LLM APIs in production environments.
Practical understanding of MLOps/LLMOps concerns: evaluation, monitoring, rollouts, incident response.
Curiosity and drive to experiment with advanced AI techniques while staying grounded in production impact.
Strong bias for measurable improvements: latency, cost, reliability.
Build high-impact, zero-to-one systems that directly influence the product’s future.
Drive architecture and technical direction in a culture that values deep engineering thinking.
Work with a lean, high-ownership team where your contributions are visible and meaningful.
Grow with a fast-scaling startup where you help shape both the platform and the engineering culture.
Competitive compensation and equity, aligned with experience, impact and market standards.
Learning & development support, including professional development budgets and learning stipends.
Wellness and team engagement programs to support work-life integration and collaboration.
Top Skills
What We Do
Aspora is transforming banking for non-resident Indians by offering a comprehensive cross-border financial operating system that connects individuals living and working internationally with their home countries.
