Back End Engineer

Who we are: Theia Insights is a venture-backed, deep tech company that designs and builds cutting-edge AI solutions tailored for the global finance and investment industries. Our areas of expertise include Industry Classification, Factor Models, Portfolio Construction and Analysis. We are a team of PhD scientists, engineers, mathematicians and industry practitioners, with decades of combined experience. Our products and solutions are built upon a foundation of academic and proprietary research and harness the latest developments in AI, machine learning, Natural Language Processing (NLP), Large Language Models (LLM), and technologies built on advanced financial mathematics. Named after the goddess of sight, Theia synthesises and distills vast amounts of financial information so investors can see clearly. What you would do: Collaboration with Financial Experts: Work alongside financial mathematicians and economists to integrate NLP and knowledge graph technologies into customer-facing solutions Data Processing and Management: Collaborate with Machine Learning Engineers on large-scale data processing tasks to support data extraction and knowledge graph creation Build and manage our Customer-Facing API: You will be responsible for developing interfaces that allow customers to log in, obtain API keys, and perform self-service tasks on the platform. Own API Development and Maintenance: Ensure the API is reliable and meets all functionality and availability requirements. This includes integrating metrics and continuously improving the API based on customer feedback Productionise Machine Learning Code: Work closely with ML Scientists and Economists to ensure their code is operationally ready and deployable in cloud environments On-Site Appliance Development: Package software or models onto appliances for customers who require on-premise or virtual private cloud (e.g., AWS, Azure) solutions for tasks like portfolio analysis Internal Tooling Development: Create and operate tools to assist economists and data scientists, accelerating the product development cycle Influence System Design: Participate in key technology, data source, and algorithm decisions, impacting the overall product vision Who you are: Essential: Bachelor's degree in Computer Science, Computer Engineering, or a related technical field, or equivalent practical experience Proven experience in building, deploying, operating, and maintaining customer-facing software features Experience with both batch and real-time data processing environments Willing to work as part of a dynamic, fast-paced multidisciplinary team in a startup environment Strong communication skills with the ability to collaborate with cross-functional teams and stakeholders Desirable: Experience with Python Familiarity with AWS, Azure, or GCP, and experience with infrastructure as code Bonus Attributes: Background in projects related to finance and economics Understanding of Machine Learning concepts, particularly in NLP and knowledge graph construction What we offer: Opportunity to work with a dynamic and innovative team at the forefront of AI technology within finance and investment Exposure to all aspects of a growing technology business Potential for career advancement and professional development within the company Competitive salary Office based in Cambridge, but possibility for remote out of London with ad-hoc travel