Data Engineer, Investment Services
Core
Design and build scalable backend systems and data pipelines to power investment services and AI-driven applications, integrating generative AI and LLM solutions.
Role type
Senior Data Engineer (Backend & Generative AI)
Builds
Scalable backend systems, data pipelines (batch/streaming), and productionized generative AI/LLM solutions for investment workflows.
Domain
Alternative Investment / Financial Services / Generative AI
Deliverable
production ML models | product features | infrastructure
Required skills
Backend system engineering, data pipeline design (batch/streaming), generative AI and LLM integration, microservices and API development, cloud and container orchestration, CI/CD and infrastructure-as-code, SQL and data modeling, Java/Python/Go programming
Preferred skills
Mentoring engineers, cross-functional delivery leadership, security and compliance integration
Technologies
Docker, container orchestration, Java, Python, Go, SQL, relational and non-relational data stores
Responsibilities
Design and build scalable backend systems; build and operate robust data pipelines; integrate and productionize generative AI and LLM solutions; implement and maintain microservices and APIs; optimize system performance and resilience; lead cross-functional delivery of prototypes; build and maintain CI/CD pipelines; collaborate with security and compliance partners
Seniority
Senior, hands-on IC with mentorship responsibilities
