Homeoffice AI Engineer bei Aras Corporation

We are looking for an AI Engineer / Developer to join our team in transforming our Product Lifecycle Management (PLM) platform through AI-powered features. You’ll be directly involved in the hands-on development and implementation of intelligent solutions that enhance automation, decision-making, and user experience. This role focuses on building, integrating, and optimizing AI/ML models and tools using modern NLP, LLMs, and vector search technologies.

You will work closely with product, engineering teams to deliver meaningful, domain-specific AI capabilities across our PLM ecosystem.

Key Responsibilities
 • Develop and integrate AI-powered features using NLP, LLMs, and multimodal AI.
 • Build AI-driven solutions to enhance user experience, process efficiency, and decision-making.
 • Fine-tune and optimize AI models for performance and accuracy.
 • Implement monitoring, testing, and governance around AI features to reduce risks (e.g., prompt injection, bias, drift).
 • Collaborate with internal teams to iterate on solutions and improve existing ML pipelines.


Required Skills & Experience
 • Strong hands-on expertise in Natural Language Processing (NLP) and LLMs (e.g., GPT, Claude, Gemini, BERT, T5).
 • Experience in AI development: chatbots, assistants, virtual agents, etc., using LangChain, Semantic Kernel, or LangGraph.
 • Proficiency in building and deploying RAG pipelines, working with prompts (zero-shot, one-shot), and fine-tuning.
 • Familiarity with AI search tools such as Azure Cognitive Search, Elasticsearch, or Haystack.
 • Solid experience with the Azure AI ecosystem (Azure AI Services, OpenAI on Azure, AKS, etc.).
 • Experience with containerization tools: Docker, Kubernetes.
 • Working knowledge of MLOps, model versioning, and CI/CD with tools like Azure DevOps or GitHub Actions.


Technical Stack
 • Proficient in .NET (C#) and JavaScript/TypeScript.
 • Experience working with microservices and enterprise-scale applications.


Preferred Qualifications
 • 5+ years of hands-on AI/ML development experience.
 • Strong background in backend or full-stack engineering.
 • Previous experience delivering AI capabilities in enterprise software.
 • Deep familiarity with Azure infrastructure and deployments.
 • Strong collaboration skills and ability to communicate effectively with technical teams.