Senior AI Engineer

We are seeking a highly experienced and strategic Senior AI Engineer to lead the design, development, and delivery of cutting-edge generative AI solutions that drive meaningful business impact. This role focuses on architecting and building robust, scalable AI-powered systems, primarily leveraging Large Language Models (LLMs), while providing technical leadership and mentorship to junior engineers

Responsibilities

Develop and deploy complex data pipelines and solutions built on generative AI models, owning the full development lifecycle from design through production; Design, build, and maintain advanced knowledge bases using vector embeddings, optimised for high performance and scalability; Lead the optimisation of existing generative AI models and processes, with a focus on performance, scalability, efficiency, and cost-effectiveness; Produce clear, high-quality documentation (technical specifications, guides, and presentations) to communicate AI concepts to both technical and non-technical stakeholders; Contribute to the definition and adoption of best practices for generative AI development within the team; Stay up to date with advancements in generative AI, evaluate emerging technologies, and contribute to prototyping and proposing new initiatives

Requirements

AI; Proven experience as a Data Scientist or AI Engineer with hands-on involvement in designing, developing, and deploying AI/ML solutions in production environments; At least 1 year of experience building and implementing solutions based on generative AI models, with demonstrated expertise in Large Language Models (LLMs) such as GPT, Claude Sonnet, or similar, including production deployments; Strong proficiency in Python; Familiarity with generative AI frameworks and tools such as LangChain and Streamlit; Solid understanding of software engineering principles and best practices, including data structures, algorithms, and design patterns; Experience designing and consuming RESTful APIs and working within microservices-based architectures; Knowledge of cloud platforms and services (AWS, Azure, and/or GCP), with hands-on experience deploying, scaling, and managing AI/ML models in cloud environments; Experience working with vector databases and vector search technologies (e.g. Pinecone, Azure AI Search, Amazon OpenSearch, or vector extensions in relational databases), including performance tuning and optimisation; Strong business acumen, with the ability to translate business requirements into technical solutions that deliver measurable value through innovative AI applications; Excellent communication and presentation skills, with the ability to clearly explain complex technical concepts to both technical teams and executive stakeholders; A proactive, self-driven mindset, with the ability to lead initiatives, work independently, and collaborate effectively in a fast-paced, multi-project environment

Nice to have

Experience with LangChain and Streamlit (preferred); Strong willingness to learn