AI Finance Automation Engineer (Remote, Germany)

United States Digital Space LLC; Germany (OH); On-site; USD 81,000 - 138,000; Full time

Job summary

BJAK is seeking applied AI engineers to build AI-native systems for our Finance Agent platform. This role focuses on turning AI into real workflows that automate tasks and improve user experiences.

You will work with product and engineering teams to design, prototype and productionize AI-powered solutions, integrating LLMs, data, APIs and business systems while prioritizing reliability and safety.

Qualifications

• Strong software engineering foundation with Python and backend systems.
• Hands-on experience with LLM APIs, agents, RAG, or AI workflow automation.
• Ability to connect AI systems to real product data and operational workflows.
• Good judgement on where AI helps vs rule-based or human review.
• Understand evaluation, latency, cost, privacy, and failure modes.
• Fast builder who can prototype, test, and ship practical systems.
• Experience in fintech, insurance, or CRM helps.

Responsibilities

• Build AI-powered workflows, assistants, agents, and automation systems.
• Apply AI across customer support, CRM, onboarding, claims, renewals, payments, and operations.
• Work with product and engineering to turn manual processes into scalable AI-native systems.
• Build integrations with LLMs, internal data, APIs, documents, and knowledge bases.
• Design evaluation, monitoring and fallback flows for safe, reliable AI outputs.
• Prototype quickly, test with users, then productionize what works.
• Improve speed, quality and consistency across workflows using AI.

Skills

Python

Backend development

LLM APIs

Workflow automation

Prototyping

Systems integration

Tools

LLM platforms

APIs

RAG

Job description

BJAK is seeking applied AI engineers to build AI-native systems for our Finance Agent platform. This role focuses on turning AI into real workflows that automate tasks and improve user experiences.

You will work with product and engineering teams to design, prototype and productionize AI-powered solutions, integrating LLMs, data, APIs and business systems while prioritizing reliability and safety.