- Develop and deploy ML and AI solutions for real-world business requirements.
- Build LLM applications using OpenAI, Azure OpenAI, Anthropic Claude, or similar models.
- Develop RAG, embeddings, vector search, and re-ranking solutions.
- Build AI agents and agentic workflows with appropriate guardrails and evaluation.
- Develop AI/ML pipelines and production-ready services using Python.
- Use AI coding tools such as Claude Code and Cursor alongside traditional coding.
- Implement MLOps, CI/CD, monitoring, logging, and evaluation practices.
- Deploy AI applications on Microsoft Azure using Docker and Kubernetes/AKS.
- Manage source code using Git, branching, and pull-request workflows.
- Work with product and business teams to understand requirements and deliver effective AI solutions.
- Ensure AI systems are secure, reliable, observable, and scalable.
- Participate in technical and code reviews and support other engineers.
Required Skills & Qualifications
- Bachelor’s or Master’s degree in Computer Science, AI/ML, Data Science, Mathematics, Statistics, or a related field.
- 4+ years of professional software engineering experience, including at least 2 years in production AI/ML.
- Experience with PyTorch, TensorFlow, scikit-learn, pandas, and NumPy.
- Hands-on experience with LLMs, RAG, embeddings, and vector databases.
- Experience with OpenAI, Azure OpenAI, Anthropic Claude, or open-source models.
- Experience with Claude Code, Cursor, or similar AI development tools.
- Strong knowledge of Git and code review practices.
- Experience with CI/CD, Azure DevOps, or GitHub Actions.
- Hands-on experience with Microsoft Azure, Docker, and Kubernetes/AKS.
- Strong communication and problem-solving skills.
- Ability to work effectively in a fully remote, international team.
Preferred Experience
- Agentic AI and AI orchestration.
- Prompt engineering and model evaluation.
- Fine-tuning and structured outputs.
- Terraform or Bicep.
- AI observability, monitoring, and MLOps.
- Experience with security, privacy, and responsible AI practices.
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Artificial Intelligence Engineer Arbeitgeber: Excelloit Consultancy Services
Als Arbeitgeber in der hochmodernen Technologiebranche, die sich auf Verteidigungs- und Sicherheitslösungen spezialisiert hat, bietet unser Unternehmen eine dynamische Arbeitsumgebung, in der Innovation und Teamarbeit großgeschrieben werden. Wir fördern eine Kultur des kontinuierlichen Lernens und der beruflichen Weiterentwicklung, während wir unseren Mitarbeitern die Möglichkeit bieten, an spannenden Projekten zu arbeiten und ihre Fähigkeiten in einem technisch anspruchsvollen Umfeld auszubauen. Zudem profitieren unsere Mitarbeiter von flexiblen Arbeitsmodellen und einer unterstützenden Gemeinschaft, die den Austausch und die Zusammenarbeit schätzt.
Kontaktdaten:
Excelloit Consultancy Services Recruiting-Team
