AI Engineer

Retrieval and Search Systems

• Build and maintain data layers that support hybrid retrieval architectures combining vector, keyword, and structured search
• Design retrieval strategies to enable efficient search across large economic datasets and research content
• Develop and optimise embedding pipelines, indexing strategies, and ranking approaches for high-quality retrievalImplement evaluation frameworks to measure retrieval quality, relevance, and system performance

Data Modelling and Metadata Systems

• Design structured metadata models that improve discoverability and machine interpretability of datasets
• Support ontology development and knowledge graph structures used by AI applications
• Ensure high data quality, lineage, and traceability across AI workflowsCollaborate with data engineering and product teams to maintain consistent data standards and schema evolution

Macro-Economic Tools and Models

• Develop predictive models that analyse macroeconomic indicators such as GDP, inflation, and unemployment to support forecasting and economic analysis
• Build analytical tools that assist research workflows, enabling economists and analysts to generate insights more efficiently
• Integrate these tools with other AI-driven products and workflows, enabling seamless analysis and decision-makingSupport experimentation and evaluation of models to ensure reliability and practical value in real-world research contexts

AI Systems Engineering

• Design and implement scalable pipelines for AI and data workflows used in production environments
• Develop monitoring and observability capabilities to track system performance, model behaviour, and data qualityWork closely with product, research, and engineering teams to translate real user needs into robust AI solutions

Do you have experience in Python?, Do you have a Master's degree?, * Master's degree in computer science, Data Science, or equivalent fields (e.g. Machine Learning, Artificial Intelligence)

• Strong proficiency in Python and modern AI frameworks (e.g. Lang Chain, Lang Graph)
• Solid understanding of LLMs, embedding models, and retrieval-augmented generation (RAG) systems
• Experience with search systems, vector databases, and hybrid retrieval architectures
• Familiarity with data modelling, metadata systems, or knowledge graphs
• Experience building and deploying AI systems in production environmentAbility to work effectively with real users and evolving product requirements

Pulled from the full job description

• Life insurance
• Company pension
• Private medical insurance
• Discounted gym membership, * A competitive salary
• Private medical insurance, inclusive of dental, vision, and hearing
• Life insurance
• Company pension scheme, with a strong employer contribution
• Gym discounts
• Dragon pass "airport lounge" membership
• 25 days holiday per annum2 Macrobond days to use per annum for volunteering

Our commitment to Diversity

At Macrobond, diversity, equity, and inclusion are fundamental to our culture and success. We are committed to fostering an environment where all individuals are respected, valued, and empowered to contribute their unique perspectives.

Macrobond is a leading provider of global economic and financial data and technology for investment professionals. Our customers include over 900 firms spanning the buyside, sell side, corporate and academic sectors. Our platform, rich in intellectual property and supported by a rapidly expanding global team, ensures we remain at the forefront of our industry. With the backing of Francisco Partners, a prominent global tech investment firm, we operate as a truly international company. Our headquarters are in Malmö, Sweden, and we have key offices in Gothenburg, London, Poland, Lisbon, Hong Kong, and New York.