Skills

Full description

Key Responsibilities

Design, develop, and deploy AI-driven product features in production
Build applications leveraging LLMs, retrieval-augmented generation (RAG), and other ML techniques
Develop and maintain retrieval-based systems using enterprise data, documents, and knowledge sources
Integrate AI solutions with internal systems, APIs, and business tools in secure environments
Work closely with cross-functional teams to deliver robust, production-ready solutions
Continuously improve system performance through testing, evaluation, monitoring, and iteration
Deploy and manage AI workloads in cloud environments following best engineering practices
Contribute to AI capabilities supporting finance, compliance, risk, audit, and related domains

Required Experience

3+ years of hands-on experience in machine learning, AI development, and software engineering
Proven experience building and deploying ML/AI systems in production at scale
Background in product-based companies where AI is part of the core offering
Demonstrated ability to take AI solutions from prototype to production
Experience collaborating with data science teams to operationalize models and experiments.