AI Developer, SA
Core
Design, build, and scale production-grade AI systems (copilots, agentic workflows, automation) embedded into investment management processes.
Role type
Senior IC AI Engineer (LLMs & Orchestration)
Builds
Reusable AI platforms, SDKs, and shared services for product teams; production AI services for front-to-back investment workflows.
Domain
Financial Services / Investment Management / AI Engineering
Deliverable
production ML models
Required skills
LLMs, AI orchestration, RAG pipelines, multi-agent systems, Python, API-driven architectures, microservices, event streaming, distributed caching, software engineering fundamentals, AI governance.
Preferred skills
Investment management/trading systems experience, AI agent frameworks/MCP servers, cloud platforms (Azure/AWS/GCP), Agile/Scrum.
Technologies
Azure, Kafka, Event Hub, Redis, Hazelcast, Snowflake, MCP, A2A, Vector Databases.
Responsibilities
Design and deploy AI-powered services and agent-based workflows; implement RAG pipelines with enterprise data; build reusable AI enablement platforms and SDKs; integrate AI services with cloud platforms and enterprise systems; expose AI capabilities via API Management; ensure performance, scalability, and reliability; implement monitoring and observability; apply responsible AI practices.
Seniority
Mid-Senior, hands-on IC