Applied AI Engineer - AI Neobank App (Ireland)

Bjak • Ireland, MS

21h • Remote

About The Position

BJAK is seeking applied AI engineers to develop AI-native systems for their AI Neobank app. This role focuses on building and implementing AI solutions to automate real-world workflows, enhance products, reduce manual effort, and simplify financial services for users and internal teams. The company, which started in 2019, has already established itself as a leading insurance platform in Southeast Asia and is now expanding into broader financial services, aiming to help people maximize their money daily. BJAK values passionate, driven individuals who enjoy building next-generation products and are committed to redefining financial applications for everyone.

Requirements

• Strong software engineering foundation, preferably with Python and backend systems.
• Hands-on experience building with LLM APIs, agents, RAG, workflow automation, or AI tools.
• Ability to connect AI systems with real product, data, and operational workflows.
• Good judgment regarding the appropriate application of AI versus rule-based systems or human review.
• Understanding of evaluation, accuracy, latency, cost, privacy, and failure modes.
• Proficiency as a fast builder capable of prototyping, testing, and shipping practical systems.
• Strong English communication skills.

Nice To Haves

• Experience in fintech, insurance, support automation, CRM, or operations automation is a strong advantage.
• Practical AI builder, not just a prompt experimenter.
• Thinks in workflows, systems, and measurable quality.
• Ability to build quickly while prioritizing guardrails and reliability.
• Comfortable working with messy real-world data and processes.
• Honest about the capabilities and limitations of AI.

Responsibilities

• Build AI-powered workflows, assistants, agents, and automation systems.
• Apply AI across customer support, CRM, onboarding, claims, renewals, payments, operations, and internal tools.
• Collaborate with product and engineering teams to transform manual processes into scalable AI-native systems.
• Develop integrations with LLMs, internal data, APIs, documents, knowledge bases, and business systems.
• Design evaluation, monitoring, and fallback mechanisms to ensure AI outputs are useful, safe, and reliable.
• Rapidly prototype, test with users or operators, and productionize successful solutions.
• Enhance the speed, quality, and consistency of workflows using AI where it delivers tangible business value.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed