Applied AI Engineer – AI Neobank App

BJAK

Applied AI Engineer building AI-powered systems for BJAK's Neobank app. Driving innovation in fintech applications through automated workflows and robust AI solutions.

Posted 7/15/2026full-time🇲🇾 Malaysia, 🇬🇧 United KingdomMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building AI-powered workflows and automation systems, with a strong foundation in software engineering, particularly in Python and backend systems. Proficient in integrating AI with operational workflows and ensuring the reliability and safety of AI outputs.

Highest-signal resume keywords

Python ProgrammingLLM API IntegrationWorkflow AutomationAI Tools DevelopmentFintech Experience

ATS Keywords

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Hard Skills

Software EngineeringBackend SystemsAI System IntegrationPrototypingTestingEvaluation and MonitoringAutomation SystemsData AnalysisScalable Systems DesignOperational Workflows

Soft Skills

Good JudgementProblem SolvingCollaborationUser Testing

Tools & Technologies

APIsKnowledge BasesCRM SystemsInternal Data SystemsAutomation Tools

Industry Keywords

FintechInsuranceSupport AutomationOperations Automation

Tech Stack

Tools & technologies

Python

About the role

Key responsibilities & impact

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.

Requirements

What you’ll need

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.

Benefits

Comp & perks

Strong English communication is required.