AI Engineer

As an AI Engineer, you'll design, develop, and deploy scalable AI systems, LLM-based applications, and orchestration layers. You'll work alongside product, ML, backend, and DevOps teams to ensure seamless integration, high availability, and optimal performance of our AI-driven applications. This role requires strong expertise in AI technologies, a passion for scalable architecture, and experience with efficient data management for model performance. Requirements: - Ability to deal with ambiguous problem statements. - 4+ years of experience. - Experience working with LLM systems (prompting, LLM APIs, Agent Development Platforms++). - Proficiency in designing and implementing ML pipelines. - Deep knowledge of RAG (Retrieval-Augmented Generation) architectures. - Experience building Agentic AI systems. - Hands-on experience with frameworks like LangChain. - Proven ability to build and scale production-grade AI systems. - Expertise in establishing robust AI evaluation (evals) frameworks. - 4+ years of experience in backend development with proficiency in languages such as Python, Node.js, Java, or Go. - Strong understanding of RESTful API design, microservices architecture, and server-side frameworks. - Experience with relational databases (e. g., PostgreSQL, MySQL) and familiarity with NoSQL databases (e. g., MongoDB, Redis). - Hands-on experience with cloud infrastructure (AWS, GCP, or Azure) and containerization tools like Docker and Kubernetes. - Familiarity with CI/CD pipelines, version control systems (Git), and agile development methodologies. Company Summary At Pascal, we're reimagining investment research with AI. We help funds and corporates make sharper, faster decisions by turning unstructured information into actionable insight. Pascal was founded to help investors and decision-makers uncover insights no human team could find at scale. From the beginning, we've believed that great investing comes from combining powerful automation with human judgment. We've built AI research agents that take on the heavy lifting, analyzing filings, transcripts, and alternative data while fitting seamlessly into the workflows of funds, analysts, and corporates. Pascal isn't just about dashboards or surface metrics. We dig deeper to reveal narrative shifts, management credibility, and competitive edge, delivering insights in minutes instead of weeks. As investors ourselves, we know what drives conviction, and we built Pascal to be the tool we always wished we had. Why Join Us At Pascal, you'll work directly with founders, ship to some of the world's most sophisticated investment firms, and shape how AI transforms a trillion-dollar industry. If you thrive in high-ownership environments and want to take a category-defining product to market, we'd love to talk. We are seeking skilled and ambitious individuals to shape the future of AI for institutional investors. We hire builders, not role boxes. You'll scope the problem, ship the solution, measure impact, and iterate end-to-end. Titles matter less than accountability and results!