AI/ML – Investment Services
Core
Build and scale backend services, data pipelines, and APIs to power generative AI applications and data infrastructure for investment workflows.
Role type
Senior IC backend engineer (generative AI infrastructure)
Builds
Core backend services, data pipelines, APIs, and model-serving workflows for investment workflows
Domain
Financial services / Generative AI / Data Engineering
Deliverable
production ML models | product features | infrastructure
Required skills
Python, Java/Go/C++, large-scale data engineering (batch/streaming), generative AI tools (inference/embeddings/fine-tuning), cloud platforms, Kubernetes, databases, messaging/stream-processing, APIs/microservices, CI/CD, observability
Preferred skills
Mentorship, code review leadership, architectural improvement, incident response
Technologies
Python, Java, Go, C++, Kubernetes, cloud platforms, databases, messaging technologies, CI/CD tooling
Responsibilities
Build and scale core backend services and platforms for generative AI; Design and implement high-throughput data pipelines; Develop robust APIs and microservices for model inference; Integrate generative AI tools and model-serving workflows into production; Optimize system performance, cost, and reliability; Implement automated testing, continuous delivery, and monitoring; Partner with data scientists and product owners to translate models into production solutions; Mentor engineers and establish engineering best practices; Own end-to-end delivery and metrics-driven measurement of system reliability
