We are expanding the AI capabilities of our company and are looking to hire aSenior AI Engineerfocused on buildingData Agents. This role will also involve developing tools to transform plain language questions into actionable insights, including SQL query generation, entity matching, and data visualisations.

If you have a passion for leveraging generative models and are excited about implementing cutting-edge AI solutions, we’d love to have you join our team! You’ll collaborate with experienced developers, data scientists, and product managers to shape the future of AI-powered data applications. We offer a competitive salary and an environment that fosters continuous learning and innovation.

Key Responsibilities

• DevelopData Agentscapable of interpreting natural language questions into SQL queries, data insights, and visualisations.
• Create domain-agnostic tools to support the development of Data Agents (e.g., entity matching algorithms).
• Implement and fine-tune large language models (LLMs) for domain-specific data analysis tasks.
• Collaborate with cross-functional teams to integrate Data Agents into our Data and AI Operating System.
• Stay current with the latest AI research and apply novel techniques to solve complex problems.

Requirements

• MSc or PhD in Data Science, AI, ML, or Computer Science.
• 5+ years of experience in applied AI, with a focus on natural language processing and data analysis.
• Experience with generative models, large language models (LLMs), and entity resolution.
• Experience with LangChain or similar frameworks for building language model applications.
• Proficiency in Python and SQL, with strong skills in data manipulation and analysis.
• Expertise in AI frameworks such as TensorFlow, PyTorch, and Hugging Face Transformers.
• Ability to effectively communicate complex AI concepts, especially to non-technical stakeholders.

Preferred Qualifications

• Experience with graph databases and knowledge graphs.
• Familiarity with business intelligence tools and data warehousing concepts.
• Background in semantic parsing or natural language-to-SQL translation.

Next Steps

Interested in the vacancy? We encourage a diverse workforce and welcome applications from all communities.

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