AI Vibe Coding & Engineering in München

About us Excelloit is an international consulting firm with offices across the DACH region, Europe, the United Kingdom, and India.

We support organizations through talent consulting, digital transformation, and energy advisory services.

This vacancy is managed on behalf of a premium client Tasks Key Responsibilities Design, train, evaluate, and ship machine learning and deep learning models (classification, regression, ranking, vision, NLP, time series) against well-defined business and scientific problems.

Design and implement LLM-powered applications using major model providers (Claude/Anthropic, Azure Open AI, Open AI, or equivalents).

Build retrieval-augmented generation (RAG) systems, including chunking strategies, embeddings, vector store selection (e. g., Azure AI Search, pgvector), and re-ranking.

Develop agentic workflows with tool use and orchestration; implement guardrails, evaluation harnesses, and human-in-the-loop review where appropriate.

Apply prompt engineering, fine-tuning, and structured output techniques; measure quality with offline evals and online metrics.

Build and maintain robust data and feature pipelines on Azure; ensure data quality, lineage, and reproducibility.

Productionize models with sound MLOps practices: versioning, automated retraining, drift detection, and rollback strategies.

Use AI coding assistants (Claude Code, Cursor) effectively alongside traditional manual coding — choosing the right approach for each task and reviewing AI-generated code with rigor.

Manage source code in Git using a clean branching strategy and pull-request-based review.

Build and maintain CI/CD pipelines (e. g., Azure Dev Ops, Git Hub Actions) for automated testing, packaging, and deployment of AI services.

Deploy and operate services on Azure using containers (Docker), orchestration (Kubernetes/AKS), and infrastructure-as-code (Terraform or Bicep).

Profile Required Qualifications Bachelor’s or Master’s degree in Computer Science, Machine Learning, Data Science, Mathematics, Statistics, or a related field — or equivalent practical experience. 4 + years of professional software engineering experience, with at least 2 years building and shipping ML or AI systems in production.

Strong proficiency in Python and core ML libraries (Py Torch and/or Tensor Flow, scikit-learn, pandas, Num Py).

Hands-on experience deploying LLM-based applications using major model providers (Anthropic Claude, Azure Open AI, Open AI, or open-source models).

Practical RAG and embeddings experience, including at least one production vector store.

Demonstrated proficiency with AI coding tools such as Claude Code and Cursor, balanced with strong manual coding fundamentals.

Solid command of Git, branching strategies, and pull-request-based code review.

Hands-on experience building and operating CI/CD pipelines (e. g., Azure Dev Ops, Git Hub Actions) for production workloads.

Hands-on experience deploying services on Azure (AKS, App Service, Functions, Azure AI/ML services, or similar) and with containerization (Docker).

Strong written and verbal communication; able to explain modeling decisions and trade-offs to non-technical stakeholders.

Proven ability to thrive in a fully remote, globally distributed team.

We offer Competitive salary package with performance-based incentives Flexible working hours and hybrid/remote work options Opportunities for international projects and global exposure Professional development and continuous learning programs Career growth and internal mobility opportunities Supportive and collaborative work environment Health and wellness benefits Paid annual leave and public holidays Modern workplace with advanced tools and technologies Long-term career stability with a growing organization Additional contact details Interested?

Share your CV at: vm001@excelloit. eu