Freelance AI Engineer

Join a forward-thinking team dedicated to building cutting-edge AI-powered products. As an AI Engineer, you'll play a key role in designing and deploying scalable solutions using modern frameworks and cloud technologies. You'll collaborate with cross-functional teams including product managers, data engineers, software developers, and AI specialists to bring innovative ideas to life.

Key Responsibilities:

• Contribute to the development and deployment of scalable AI solutions across various product lines.
• Work closely with stakeholders to translate business needs into technical implementations.
• Build and optimise GenAI architectures using industry-leading tools and frameworks.
• Develop solutions leveraging cloud-based AI services, particularly within the Azure ecosystem (e.g., Azure OpenAI).
• Support the implementation and refinement of Retrieval-Augmented Generation (RAG) systems, including embedding strategies and indexing techniques.
• Assist in managing evaluation pipelines and frameworks using tools such as Langfuse.
• Document and share best practices related to GenAI and Agentic AI architectures.

Required Skills and Experience:

• Solid background in software engineering or machine learning engineering, with hands-on experience in real-world projects.
• Proven ability to design and deploy production-grade Generative AI solutions.
• Strong programming skills in Python.
• Experience with cloud AI platforms, preferably Azure or AWS.
• Familiarity with GenAI tools and both open-source and commercial LLMs.
• Understanding of advanced AI architectures such as Agentic AI and RAG (including GraphRAG).
• Proficiency with frameworks like LangChain, LlamaIndex, and evaluation tools such as Langfuse.