AI Engineer

AI Engineer We are working on different areas where AI/ML can help portfolio managers, researchers, risk managers, and other functions. Some examples are: enabling traders/researchers to consume vast amounts of research and literature by organizing, summarizing information, sometimes in near real-time; doing quantitative modeling to price instruments, modeling demand and supply of commodities and other fundamentals; modeling weather, optimizing algorithmic execution of trades; modeling and building simulations of risk. The AI/ML work spans usage of LLMs, deep learning, reinforcement learning and other ML techniques. The work also requires building AI/ML infrastructure for data wrangling, building feature stores, building frameworks for deployments, measurements, re-training, etc. We are seeking a AI/ML SWE who has experience with LLMs, deep learning, reinforcement learning as well as an interest and ability to keep up with advancements in AI/ML. The candidate should also be strong in software engineering and be comfortable with AI/ML experimentation and productionization. Key Responsibilities Engage and collaborate with business stakeholders, quants, and other market researchers to deeply understand the problem space. Experiment, iterate, productionize AI/ML solutions. Build supporting data and AI/ML infrastructure and tools. Required Skills and Qualifications Strong knowledge of the latest advancements in AI and machine learning. Strong fundamentals in computer science. Proficiency in Python and at least 1 other language such as Java, C++, C#, etc. Experience with cloud computing platforms (e.g., AWS, Azure, Google Cloud). Experience with using LLMs and with techniques such as prompt engineering, PEFT, fine-tuning, etc. Ability to build and evaluate AI models and tools using quantifiable metrics. Excellent problem-solving skills and ability to work independently as well as part of a team. Strong communication skills to effectively collaborate with developers and other stakeholders. Adaptable and willing to work in a start-up-like environment within a major institution. Preferred Qualifications Advanced degree in Computer Science, AI, Machine Learning, or a related field. Experience in developing AI solutions for financial institutions. Knowledge of additional programming languages and frameworks.