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BJAK

Applied AI Engineer

BJAK

Applied AI Engineer building AI-native systems and automations for BJAK’s AI Neobank app. Required coding expertise in Python, TypeScript, or JavaScript with a focus on practical financial solutions.

Posted 7/15/2026full-timeRemote • 🇸🇪 SwedenMid-LevelSeniorWebsite

Core Competencies

Role fit
Core Competencies

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

Demonstrates hands-on engineering ability in building AI agents and automation workflows, with strong coding skills in Python, TypeScript, or JavaScript. Capable of designing AI-enabled systems that prioritize accuracy, security, and compliance while improving reliability over time.

Highest-signal resume keywords
AI Agent DevelopmentLLM Application DevelopmentAutomation Workflow DesignPython CodingFintech Experience

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
AI Agent DevelopmentLLM Application DevelopmentAutomation Workflow DesignPython CodingTypeScript CodingJavaScript CodingRAG SystemsTool CallingQuality TestingReliability Improvement
Soft Skills
Good JudgementProblem Solving
Industry Keywords
FintechBankingSupport AutomationRisk ManagementKYCFraud PreventionCRMOperations Automation

Tech Stack

Tools & technologies
JavaScriptPythonTypeScript

About the role

Key responsibilities & impact
  • Build AI agents, workflows, tools and automations that solve real customer, product and operations problems.
  • Apply LLMs, retrieval, tool calling, evaluations, guardrails and automation to practical financial workflows.
  • Create AI-assisted experiences for onboarding, support, KYC, risk review, CRM, operations, document handling and product intelligence.
  • Work with product and engineering teams to identify what is worth building, then build it quickly and improve it in production.
  • Design around real constraints: accuracy, hallucination risk, latency, cost, security, compliance and user trust.
  • Turn manual processes into reliable AI-enabled systems that can scale.

Requirements

What you’ll need
  • Hands-on engineering ability, not just AI strategy or management experience.
  • Experience building AI agents, LLM apps, RAG systems, automation workflows, copilots or AI-enabled tools.
  • Strong coding ability in Python, TypeScript, JavaScript or similar practical stack.
  • Good judgement on what should be automated and what should not.
  • Able to ship working systems, test quality and improve reliability over time.
  • Fintech, banking, support automation, risk, KYC, fraud, CRM or operations automation experience is a strong plus.

Benefits

Comp & perks
  • Strong English communication is required