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Metanoia IT Solutions GmbH

AI Developer

Metanoia IT Solutions GmbH

AI Developer building production LLM features and scalable SaaS products for established clients. Designing evaluations, tracing, and human-in-the-loop agent workflows.

Posted 8/13/2026full-timeRemote • 🇺🇸 United StatesMid-LevelSeniorWebsite

Core Competencies

Role fit
Core Competencies

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

Demonstrates expertise in LLM-based feature development, including prompt design, model selection, and evaluation. Capable of rapidly prototyping and deploying solutions while ensuring traceability and human-in-the-loop workflows.

Highest-signal resume keywords
LLM OrchestrationPrompt DesignEvaluation LoopsFluent GermanProduction Deployment

ATS Keywords

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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
LLM Behavior TracingFunction CallingAgent WorkflowsProduct PrototypingMeasurable Improvements
Soft Skills
Product SensePragmatic Decision-MakingOwnership
Tools & Technologies
ClaudeCursor
Industry Keywords
Multi-LLM PipelineTraceabilityHuman-in-the-Loop

About the role

Key responsibilities & impact
  • Ownership of LLM-based features end-to-end — from prompt design to user-facing output
  • Rapidly turn ideas into working prototypes and drive them to production readiness
  • Build and iterate product-facing features across the full stack
  • Work on the multi-LLM pipeline and make decisions about model selection, cost, and latency
  • Build evaluation loops against real outputs, define baselines, and demonstrate measurable improvements
  • Ensure traceability of LLM systems through per-step tracing and prompt provenance
  • Design human-in-the-loop agent workflows where humans make the final decisions
  • Rapidly prototype, harden solutions, and deploy your work to production including configuration, feature flags, and scheduled jobs
  • Contribute your own product ideas

Requirements

What you’ll need
  • Demonstrable product sense and a fast pace
  • Deliver working solutions and make pragmatic trade-offs
  • Comfortable working AI-natively day-to-day, using Claude and Cursor as part of your regular workflow
  • Practical experience with LLM orchestration, including function calling, agents, and evaluation
  • Experience tracing LLM behavior in production and having identified a real bug
  • Able to explain when a deterministic pipeline is preferable to an agent
  • Willingness to take responsibility for deploying your own work
  • Fluent German

Benefits

Comp & perks
  • Direct collaboration with the founders and real influence on product and culture
  • An AI-native work environment with best-in-class tools
  • Remote work
  • Flat hierarchies, short communication lines, and fast decision-making