AI Vibe Coding & Engineering

Excelloit Consultancy Services GmbH; Arrondissement de Toulon; Hybride; EUR 65 000 - 95 000; Plein temps

Avantages offerts par ce poste

Competitive salary package with perks

Flexible hours and hybrid/remote work

International projects and global exp.

Professional development programs

Health and wellness benefits

Résumé du poste

Excelloit Consultancy Services GmbH seeks an experienced ML/AI Engineer to design, train, and ship ML models and LLM-powered applications. You will build RAG systems, embeddings pipelines, and production-ready services on Azure with Docker/Kubernetes.

Strong Python, PyTorch/TensorFlow, and Git skills are required, along with track record deploying AI systems in production and collaborating in a globally distributed, remote-friendly team.

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 (PyTorch and/or TensorFlow, scikit-learn, pandas, NumPy).
• Hands-on experience deploying LLM-based applications using major model providers (Anthropic Claude, Azure OpenAI, OpenAI, 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 DevOps, GitHub 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.

Responsabilités

• Design, train, evaluate, and ship machine learning and deep learning models against defined business problems.
• Design and implement LLM-powered applications using major model providers.
• Build retrieval-augmented generation (RAG) systems with embeddings and vector stores.
• Develop agentic workflows with tool use and orchestration; implement guardrails and human-in-the-loop review.
• Apply prompt engineering, fine-tuning, and structured output techniques; measure quality with evals.
• Build and maintain data pipelines on Azure; ensure data quality and reproducibility.
• Productionize models with MLOps practices: versioning, retraining, drift detection, rollback.
• Use AI coding assistants alongside manual coding; review AI-generated code rigorously.
• Manage source code in Git with clean branching and PR reviews.
• Build and maintain CI/CD pipelines for automated testing, packaging, and deployment of AI services.
• Deploy and operate services on Azure using containers (Docker) and Kubernetes/AKS.

Connaissances

Python

ML deployment

Git & PRs

CI/CD

Remote collaboration

Formation

Bachelor’s or Master’s degree in Computer Science or related field

Equivalent practical experience

Outils

PyTorch

TensorFlow

scikit-learn

pandas

NumPy

Azure DevOps

Docker

Kubernetes

Description du poste

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 OpenAI, OpenAI, 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 DevOps, GitHub 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 (PyTorch and/or TensorFlow, scikit-learn, pandas, NumPy).
• Hands-on experience deploying LLM-based applications using major model providers (Anthropic Claude, Azure OpenAI, OpenAI, 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 DevOps, GitHub 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