Applied AI Engineer
Moss | Spend smarter
full-time
Posted on:
Location Type: Remote
Location: Remote • 🇩🇪 Germany
Visit company websiteJob Level
SeniorLead
Tech Stack
CloudJavaPython
About the role
- Build & Evaluate AI Agents: Design, implement, and rigorously test finance automation agents in production.
- Auditability & Control: Architect agents that provide a transparent audit trail of all reasoning steps and enable user intervention at any time.
- Data Context Injection: Seamlessly integrate customer data into agent workflows while maintaining trust, security, and adaptability.
- Technical Leadership: Shape Moss’s AI engineering practices, mentor peers, and influence product strategy.
- Collaboration: Work closely with product, design, and finance domain experts to deliver customer-ready AI products.
Requirements
- Degree in Computer Science, Mathematics, or a related field from a top tier university.
- Minimum 8 years of professional engineering experience, with at least 2+ years in ML/NLP and proven hands-on experience in LLM-based systems.
- Programming Proficiency in Python (primary) and Java, with experience building scalable backend systems.
- Strong knowledge of LLMs, agent architectures, orchestration frameworks, and human-in-the-loop system design.
- Hands-on experience with Google Cloud (preferred), including Vertex AI, or comparable platforms.
- Experience building AI systems that are auditable, transparent, and reliable.
Benefits
- Top-of-market compensation package, including equity.
- 20 days “work from abroad”.
- 600EUR/GBP Learning & Development Budget.
- Other local benefits.
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
PythonJavaMachine LearningNatural Language ProcessingLarge Language ModelsAgent ArchitecturesOrchestration FrameworksHuman-in-the-loop System DesignBackend SystemsAI System Auditing
Soft skills
Technical LeadershipMentoringCollaborationInfluencing Product Strategy