Job Description

Job Description
The position is aimed at the design, development and implementation of artificial intelligence and generative AI solutions in cloud environments for global enterprise clients, working with advanced technologies and multidisciplinary teams.
Responsibilities:
Design, build and deploy production-grade AI and generative AI solutions in the cloud for global enterprise clients.
Collaborate with architects, data engineers, and product teams to deliver AI solutions.
Tune and integrate large language models such as Claude and GPT-based models into enterprise applications.
Develop RAG pipelines, vector search and knowledge-based AI systems using structured and unstructured data.
Implement agentic AI workflows with tooling, orchestration, and multi-step reasoning.
Implement, monitor and optimize AI models to improve performance, cost and reliability in production.
Integrate AI services with existing applications, APIs, and data platforms.
Requirements:
Proficiency in Python and experience in integrating AI services through APIs.
Experience with cloud-based AI services, such as the different Azure and AWS AI services.
Experience working with large language models, embeddings, prompt engineering, and model evaluation.
Experience in creating RAG systems, vector databases and semantic search solutions.
Familiarity with agentic AI frameworks such as LangChain, Semantic Kernel, Auto-Gen or similar.
Experience implementing AI solutions in cloud environments, including CI/CD, security and monitoring.
Understanding of the fundamentals of machine learning, natural language processing concepts and AI system design.

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