Applied AI Engineer – AI Neobank App

BJAK

Applied AI Engineer responsible for building AI-native systems for BJAK's AI Neobank app. Focused on automating workflows and improving financial services for users.

Posted 7/15/2026full-timeRemote • 🇻🇳 VietnamMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in building AI-powered workflows and automation systems, with a strong foundation in software engineering and hands-on experience with LLM APIs and workflow automation. Capable of integrating AI systems into operational workflows while ensuring evaluation and reliability.

Highest-signal resume keywords

Python ProgrammingLLM API IntegrationWorkflow AutomationAI System EvaluationFintech Experience

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Software EngineeringBackend SystemsAI ToolsPrototypingTestingProductionizationData IntegrationAutomation SystemsEvaluation MetricsOperational Workflows

Soft Skills

Good JudgementFast Builder

Industry Keywords

FintechInsuranceSupport AutomationCRMOperations 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

Flexible work arrangements