AI Full Stack Software Developer
Cumberland provides institutional OTC liquidity and market-making services for digital assets, offering 24/7 access to deep cryptocurrency and stablecoin markets.
About Cumberland
Cumberland provides liquidity solutions for institutional investors in the cryptoasset space through OTC spot trading, exchange-traded derivatives, bilateral options, and non-deliverable forwards. Founded as the crypto division of DRW Holdings, Cumberland operates globally with offices in Chicago, London, and Singapore, offering 24/7 trading access through voice markets, electronic platforms, and API connections.
Skills
About the Role
You will build internal systems that leverage AI and Machine Learning to create tooling that helps the firm work more effectively. You will architect efficient and highly scalable RAG systems informed by cutting-edge research, and design and implement robust LLM evaluation frameworks to measure model quality and performance. You will provide technical expertise in AI and ML technologies, collaborate closely with traders, researchers, and engineers to define and implement critical features, and research emerging technologies and frameworks. You will drive projects from conception to production, ensure system uptime and reliability through monitoring and alerting, write clean and well-documented code, conduct code reviews, and continuously stay up-to-date with best practices in AI and software development.
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
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