Unser Kunde:
Our customer is driving enterprise innovation through Artificial Intelligence, cloud technologies, and modern engineering practices to solve complex business challenges. The team develops scalable AI-powered solutions that accelerate digital transformation while ensuring enterprise-grade security, governance, and operational excellence.
Ihre Aufgaben:
- Design AI-driven solutions that address complex business challenges and deliver measurable business value.
- Collaborate with business stakeholders to understand requirements and translate them into scalable AI applications.
- Develop AI solutions from proof-of-concepts and MVPs to production-ready implementations.
- Design, build, and optimize Retrieval-Augmented Generation (RAG) pipelines, AI copilots, and agent-based applications.
- Develop and deploy AI services using Microsoft Azure technologies, Databricks, and cloud-native architectures.
- Establish AI governance practices, including model evaluation, validation, quality assurance, and responsible AI principles.
- Collaborate with software engineers, QA teams, and product stakeholders to integrate AI capabilities into enterprise applications.
- Monitor AI solution performance, quality, reliability, and operational costs while continuously improving production systems.
- Create technical documentation, architecture designs, and implementation guidelines to support long-term maintainability.
- Contribute to reusable AI engineering practices, frameworks, and continuous innovation initiatives.
Erforderliche Erfahrungen und Qualifikationen:
- Bachelor’s or Master’s degree in Computer Science, Software Engineering, Data Science, or a related field.
- 5+ years of experience in Software Engineering, Data Engineering, or related technical roles.
- 2+ years of experience developing and deploying production-grade Large Language Model (LLM) applications.
- Strong Python programming skills with experience building clean, maintainable, production-quality software.
- Hands-on experience with AI application frameworks such as LangChain, LangGraph, LlamaIndex, Semantic Kernel, or similar agent frameworks.
- Proven experience developing production-ready agentic AI solutions, including multi-agent systems, autonomous workflows, and tool integration.
- Strong understanding of Retrieval-Augmented Generation (RAG), including document chunking, embeddings, retrieval strategies, and evaluation techniques.
- Experience working with vector databases such as Azure AI Search, Pinecone, Weaviate, pgvector, or similar technologies.
- Experience with prompt engineering and structured output design.
- Experience evaluating and monitoring AI applications using observability and evaluation tools such as LangSmith, Langfuse, or similar frameworks.
- Experience designing and orchestrating multi-agent architectures using planning, execution, and supervision patterns.
- Hands-on experience with Microsoft Azure services, including Azure OpenAI, Azure AI Foundry, Databricks, and cloud-based AI solutions.
- Experience developing APIs, microservices, and integrating AI capabilities into enterprise applications.
- Experience implementing CI/CD pipelines for AI workloads using Git and modern Agile development practices.
- Good understanding of API security, application security, and enterprise data protection principles.
- Familiarity with frontend technologies such as React or Streamlit for AI application integration.
- Strong communication skills with the ability to translate AI capabilities into business value.
- Ability to work independently while collaborating effectively within cross-functional teams.
- Fluent English.
Wäre ein Plus:
- Experience delivering AI solutions within regulated industries such as pharmaceuticals, healthcare, or financial services.
- Experience with model fine-tuning, distillation, or other model adaptation techniques.
- Contributions to open-source AI, LLM, or agent-based technology projects.
Arbeitsbedingungen
5-Tage-Woche, 8-Stunden-Arbeitstag;
Fernarbeit.