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BJAK

Applied AI Engineer

BJAK

Applied AI Engineer responsible for building AI-native systems for BJAK's financial services platform in Germany. Collaborating with global teams and creating automated workflows.

Posted 7/15/2026full-timeRemote • 🇩🇪 GermanyMid-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 SystemsAI-Enabled ToolsSystem 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
  • Health insurance
  • Flexible work arrangements