Building AI-enabled products – Bring practical, applied AI into the product — integrating modern AI services and models (e.g. LLMs and AI APIs) into lending workflows to ship genuinely AI-enabled features. This is applied AI. – Put the right engineering around AI features — evaluation, guardrails, cost and latency control, monitoring, and safe handling of sensitive data — and use AI tooling to lift the wider team's productivity.
Performance, scale & reliability – Own performance engineering: profile, tune and scale services for growing transaction volumes at low latency. – Design for reliability across distributed, microservices-based systems — fault tolerance, observability and capacity planning.
Security & cybersecurity – Keep a security-first posture: secure coding, threat modelling, data protection, secrets management and sound authentication / authorisation, as befits a regulated lender. – Bring strong cybersecurity awareness to design and reviews — including the security implications of AI features — and partner with security and QA on VAPT remediation and compliance-aligned engineering.
Cloud & data – Architect and run services on AWS, with Kubernetes, containers and CI/CD; shape data solutions on relational databases (primarily PostgreSQL) and data lake / analytical stores, with strong data modelling and query performance.
Domain & influence – Bring deep lending-domain understanding to technical decisions across origination, underwriting, disbursement, servicing and collections.
What You Bring – Expert-level Java and deep software-engineering craft, with a long track record of building production systems at scale. – Hands-on experience building AI-enabled products — integrating AI / LLM services into real applications (applied AI, not model training). – Good cybersecurity knowledge and security-engineering practice — secure coding and data protection in a regulated environment. – Strong performance engineering and systems design across microservices and distributed architectures. – Hands-on AWS experience and cloud-native delivery, plus real lending / fintech domain expertise. – A genuine builder's disposition — this is a technical IC role, not a management track.
Good to have – Depth with Kubernetes and with data solutions on PostgreSQL and data lake / analytical stores; working React and full-stack comfort. – Familiarity with AI frameworks, RAG, agents or vector stores, and with AI-assisted developer tooling. – Event-driven / streaming (e.g. Kafka), caching, and experience in RBI /
