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BJAK

Applied AI Engineer – AI Neobank App

BJAK

Applied AI Engineer responsible for building AI-powered workflows and systems for BJAK's Neobank app. Requires strong software engineering and experience with AI tools.

Posted 7/15/2026full-timeRemote • 🇮🇪 IrelandMid-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, 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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Applicant Tracking System 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 SystemsAutomation ToolsAI Assistants
Industry Keywords
FintechInsuranceSupport AutomationOperations AutomationCustomer Support

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
  • English is our main working language across global teams. Strong English communication is required.