About this role

Build AI-powered workflows, assistants, agents and automation systems.
Apply AI across customer support, CRM, onboarding, claims, renewals, payments, operations and internal tools.
Work with product and engineering teams to turn manual processes into scalable AI-native systems.
Build integrations with LLMs, internal data, APIs, documents, knowledge bases and business systems.
Design evaluation, monitoring and fallback flows so AI outputs are useful, safe and reliable.
Prototype quickly, test with users or operators, then productionize what works.
Improve speed, quality and consistency across workflows using AI where it creates real business value.

Strong software engineering foundation, preferably with Python and backend systems.
Hands-on experience building with LLM APIs, agents, RAG, workflow automation or AI tools.
Able to connect AI systems with real product, data and operational workflows.
Good judgement on where AI helps and where rule-based systems or human review are better.
Understands evaluation, accuracy, latency, cost, privacy and failure modes.
Fast builder who can prototype, test and ship practical systems.
Experience in fintech, insurance, support automation, CRM or operations automation is a strong advantage.

Applied AI Engineer – AI Neobank App

Key skills