Applied AI Engineer - AI Neobank App (US)

Bjak • Madison, MS

1d • Remote

About The Position

BJAK is seeking applied AI engineers to develop AI-native systems for their AI Neobank app. This role is focused 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, founded in 2019, has a successful track record with its mobile-first insurance platform in Southeast Asia and is now expanding into broader financial services. BJAK values passionate, driven individuals who enjoy building next-generation products and redefining financial applications for a wider audience. They have a diverse global team and are looking for talented individuals who are motivated by their work rather than just hours worked.

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 metrics, accuracy, latency, cost, privacy, and failure modes.
• 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 terms of workflows, systems, and measurable quality.
• Ability to build quickly while prioritizing guardrails and reliability.
• Comfortable working with messy real-world data and processes.
• Honest assessment of AI capabilities and limitations.

Responsibilities

• Build AI-powered workflows, assistants, agents, and automation systems.
• Apply AI across various functions including 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 sources, APIs, documents, knowledge bases, and business systems.
• Design evaluation, monitoring, and fallback mechanisms to ensure AI outputs are useful, safe, and reliable.
• Prototype rapidly, 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