Engineer

At Bespoke, we’re revolutionizing wealth management through AI-driven products and services. Our platform is an ecosystem of machine learning models, augmented with a unique retrieval-augmented generation (RAG) system, empowering investment advisors and capital market participants with smart automation and personalized insights. We’re looking for a talented engineer to join our team, help shape our technical direction, and drive meaningful impact for our users and their clients.

Responsibilities
Drive High-Stakes Projects: Work with a team to deliver high-impact projects, often working directly with clients to understand their needs and create tailored solutions. You'll collaborate in small teams, building large-scale LLM workflows and implementing them into clients' real-world operations.
Collaborate and Build Customer: Act as a deployed engineer to meet users, build customer empathy, and develop innovative solutions that deliver value in the wealth management sector.
Hands-On Technology Work: Develop backend services in Java or Python, build and maintain REST APIs, and work with databases like SQL, PostgreSQL, MongoDB, and Apache HBase. Utilize cloud frameworks such as AWS EC2, S3, and Lambda.

Who You Are
Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or a related field. Strong academic foundation in data structures, algorithms, and software development is preferred.
Experience: 3+ years of software development experience, ideally at a venture-backed startup or top tech firm. Extensive experience in distributed systems and platform engineering.
Technical Proficiency: Expertise in backend development using Python, Java, or Go. Strong knowledge of scalable system design, performance optimization, and resilience engineering.
Cloud Platforms: Hands-on experience with AWS or other cloud platforms.
Database and Tools: Familiarity with Kafka, ElasticSearch, PostgreSQL, Redis, and other technologies to support distributed systems.