Artificial Intelligence Engineer

• Design and implement scalable generative AI and machine learning solutions for business problems
• Develop, train, and fine-tune ML and deep learning models using frameworks such as PyTorch, Keras, TensorFlow or Scikit-learn
• Collaborate with data engineers and software developers to integrate AI models into production systems through APIs, vector databases, and orchestration frameworks (e.g., LangChain, LlamaIndex)
• Experiment with and evaluate generative AI techniques such as retrieval-augmented generation (RAG), reinforcement learning from human feedback (RLHF), and model distillation
• Analyze large datasets to extract meaningful insights and features for model training
• Evaluate model performance using statistical methods, experiment tracking, A/B testing and LLM evaluation techniques
• Ensure compliance with responsible AI standards — including fairness, transparency, and data governance
• Stay updated with advancements in AI & ML to propose innovative solutions

• Bachelor's or Master's degree in Computer Science/Engineering or related field
• 3-7 years of experience
• Good understanding of the foundations and working principles of machine learning algorithms, linear algebra, probability theory, statistics, and optimization theory
• Knowledge of at least one of the following domains: generative AI, statistical learning, optimization, NLP, deep learning or time series analysis
• Should have strong proficiency in the following: Languages: Python, SQL
• Frameworks: PyTorch, TensorFlow, Scikit-learn, Hugging Face, LangChain, LlamaIndex
• Data & Storage: Spark, Pandas, Snowflake, FAISS, Pinecone, Chroma
• Familiarity with cloud platforms (GCP, Azure, AWS)
• Proficiency in version control systems (e.g., Git/GitHub)
• Strong analytical thinking skills with an ability to creatively solve business problems, innovating new techniques as needed
• Excellent verbal and written communication skills
• Self-driven and results oriented team player with ability to collaborate effectively across geographies/time zones
• Passion for solving interesting and relevant real-world problems in Finance using a data science and AI approaches

Prior experience in financial services or large-scale enterprise systems is a plus

• Strong retirement plan
• tuition reimbursement
• comprehensive healthcare
• support for working parents
• Flexible Time Off (FTO)