Responsibilities
- Build internal systems that leverage AI and Machine Learning to create tooling that assists the firm.
- Architect efficient and highly scalable RAG systems informed by cutting-edge research and state-of-the-art implementations.
- Design and implement robust and scalable LLM evaluation frameworks to measure model quality and performance.
- Provide technical expertise in relevant AI and ML technologies.
- Collaborate closely with traders, researchers, and engineers to define and implement critical features.
- Research emerging technologies and evaluate new frameworks for enhancing trading and AI systems.
- Drive projects from conception to production, including technical planning, execution, and operational handoff.
- Ensure system uptime and reliability through monitoring, alerting, and proactive maintenance.
- Write clean, maintainable, and well-documented code that adheres to company standards and best practices.
- Conduct code reviews to ensure high-quality code is maintained.
- Continuously learn and stay up-to-date with emerging technologies and best practices in AI and software development.
- Proactively contribute ideas for new tools, process improvements, and technology adoption that move the team forward.
Requirements
- Bachelor's or Master's degree in Computer Science or Software Engineering.
- 4-7+ years building production software systems with demonstrated technical leadership.
- Strong full-stack development experience with modern web frameworks and backend services.
- Proficiency in Python (required) and experience with at least one systems language (Go, Rust, C++, or Java).
- Deep understanding of API design, microservices architecture, and distributed systems.
- Hands-on experience with containerization (Docker) and orchestration platforms.
- Strong grasp of software engineering principles including design patterns, testing strategies, and code maintainability.
- Strong experience with LLMs, RAG architectures, and Agentic AI systems.
- Experience with databases (PostgreSQL, Redis) and message queues (Kafka, RabbitMQ).
- Strong communication and interpersonal skills with ability to lead technical discussions.
Work Arrangement
Hybrid
