Software Engineer

Full time hybrid role Our office is in Cambridge and we would expect you to work in the office two/three days per week. However, if this isn't possible but you believe yourself to be an ideal match, please get in touch About Theia Theia Insights is a venture-backed deep tech company. We build future-proof AI solutions in Industry Classification, Risk Factor Models, and Portfolio Analysis for the global finance and investment arenas. We are a team of PhD scientists, engineers and mathematicians, with decades of combined experience. Our products and solutions are built upon a foundation of academic and proprietary research and the latest developments in AI, machine learning, Natural Language Processing (NLP), and Large Language Model (LLM) technologies. We are guided by our commitment to sustainably building incredible technology to better serve the needs of a rapidly evolving world and ever-changing investment landscape. We are on a mission to leverage artificial intelligence and revolutionize how information is transformed into insights. Your Role We are seeking a highly talented Software Engineer to contribute to our success in building the core models for the investment research technologies of tomorrow. Youll be part of a team (reporting to the CTO) bringing revolutionary AI advances in Natural Language Processing (NLP), including developments in large language models (LLMs), generative AI, data extraction, and knowledge graph construction for the financial industry. Your Responsibilities Building Customer-Facing API for Data : Developing APIs that allow customers to interact with Theia's products and services. This involves creating interfaces through which customers can log in, obtain API keys, and perform self-service on the platform. Ownership of API Development and Maintenance : You will have ownership over the development of the API, ensuring its reliability and meeting all software requirements regarding functionality and availability. This includes integrating metrics and continuously improving the API based on customer feedback and requirements. Data processing and Management : Assisting with large-scale data management and processing, particularly if the Machine Learning Engineers require support in this area. Productionise code from ML Scientists and Economists , ensuring reliability and repeatability, and making it operationally ready to run in the cloud. On-Site Appliance Development : Packaging parts of our software or models onto appliances that can be hosted on-premise or within virtual private clouds (such as AWS or Azure). This is particularly relevant for customers who wish to conduct portfolio analysis without disclosing their data. Front-End Web Development : In addition to back-end responsibilities, the role may involve some front-end web development tasks. Develop and operate internally facing tooling to assist economists and data scientists and accelerate product development cycle. Work with financial mathematicians and economists in integrating NLP and knowledge graph components into products and customer solutions. Influence system design and product vision by making informed decisions on the selection of technology, data sources and algorithms. Our tech stack Machine Learning and Data Pipelines : Python and HuggingFace are used for the machine learning aspects of the technology. Front End : TypeScript and React are used for creating the user interfaces. Data Storage and Management : Amazon AWS stack. Data is stored in AWS S3 buckets. J ob Orchestration Framework : We use Dagster for managing and orchestrating jobs. Who you are Essential: Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. 3+ years of experience with building, deploying, operating and maintaining new software features on systems used by customers. Experience in batch and real-time data processing environments. Willing to work as part of a multidisciplinary team in a fast-changing start-up environment. Excellent communication skills, both written and verbal, with the ability to effectively collaborate with cross-functional teams and stakeholders. Desirable: 1+ years of experience with Python and TypeScript. 1+ years of experience with AWS, Azure, or GCP and defining infrastructure as code . Experience working on a project requiring knowledge of finance and economics. Knowledge of machine learning concepts and algorithms, particularly in the context of natural language processing (NLP) and knowledge graph construction. Interview Process Round one: Virtual values based interview with our talent team (Berg Search) Round two: Virtual technical interview with one of our team Round three: A short take home assessment (paid) Round four: A final on-site interview Offer!