Applied AI Engineer

Moss
Berlin, Warsaw
Workplace: HybridFull timeFunction: Data Science & Machine LearningExperience: 4+ yearsSkills: ["Problem-solving","Communication","Collaboration","Rapid experimentation","Production-quality engineering"]

Design, build, and deploy AI-powered products for finance teams using frontier language models. Create intelligent agents and workflows that automate complex finance processes, then develop evaluation frameworks to measure quality, reliability, and business impact. Improve systems using prompt engineering and RAG, ensuring accuracy, trust, and high-quality user experiences while collaborating with product, design, engineering, and finance experts.

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FursaFursa
Moss
Moss
2 months ago

Applied AI Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 2 hours agoStatus: Live

Job Summary

Design, build, and deploy AI-powered products for finance teams using frontier language models. Create intelligent agents and workflows that automate complex finance processes, then develop evaluation frameworks to measure quality, reliability, and business impact. Improve systems using prompt engineering and RAG, ensuring accuracy, trust, and high-quality user experiences while collaborating with product, design, engineering, and finance experts.
Location: Berlin, Warsaw
Workplace: Hybrid
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Design, develop, and deploy AI-enabled applications and services using state-of-the-art language models.
  • •Build intelligent agents and workflows to automate complex finance processes.
  • •Develop evaluation frameworks to measure quality, reliability, and business impact.
  • •Improve model performance using prompt engineering, RAG, and other applied AI techniques.
  • •Build transparent, auditable AI systems that users can review and intervene in when needed.

Pay and Benefits

Perks:EquityLearning Budget

Key Requirements

  • •4+ years of professional engineering experience shipping production applications.
  • •Proven experience with modern LLMs and AI application development.
  • •Strong programming skills in Python and Java.
  • •Experience building backend services and REST APIs.
  • •Hands-on experience with AI agents, RAG, prompt engineering, or related applied AI techniques.
Experience:4+ yearsFintechFinanceSaaS
Education:
Skills:Problem-solvingCommunicationCollaborationRapid experimentationProduction-quality engineering
Tech Stack:OpenAIAnthropicGeminiLlamaMistralLangChainLlamaIndexHaystackRAGPrompt engineeringFine-tuningVertex AIREST APIsPythonJavaSQL

Company Brief

Moss
Berlin-based fintech providing spend management software, corporate cards, invoice and expense automation for SMEs and finance teams, enabling real-time control of company spending and integrations with accounting/ERP systems.
Industry: Fintech Infrastructure
Company Size: Large (251 to 1,000 employees)
Growth: Scaleup
Valuation: USD 500M to 1B
Funding: Series B
Headquarters: Berlin, Germany
Founded: 2019
Glassdoor
Glassdoor: 3.4
WebsiteLinkedInGlassdoor