Senior AI Engineer
Core
Design and ship production LLM and agent systems that turn data into intelligent, customer-facing intelligence products for the Institutional & Specialty segment.
Role type
Senior IC machine-learning engineer (GenAI/LLM)
Builds
Production LLM applications, multi-agent workflows, and AI services/APIs
Domain
Enterprise software, Generative AI, Large Language Models
Deliverable
production ML models
Required skills
Python, SQL, PySpark, Machine Learning, LLM application development, RAG, Multi-agent orchestration, Prompt engineering, DevOps, Cost optimization
Preferred skills
Databricks GenAI stack, Model Context Protocol (MCP), Agent memory management, Model fine-tuning/distillation, Microsoft Azure, Kubernetes
Technologies
LangChain, Anthropic, OpenAI, Hugging Face, Vector databases, Docker, Git, CI/CD, Kubernetes, Azure App Service, Azure Functions, Azure Key Vault, Azure DevOps
Responsibilities
Design end-to-end LLM systems from data layer to inference and product integration; Build multi-agent workflows with tool-calling and orchestration; Engineer retrieval-augmented generation over vector indexes; Own production lifecycle including evaluation, monitoring, drift detection, and version management; Optimize for cost and latency via caching, model routing, and batching; Implement guardrails and security for prompt injection and data exfiltration; Expose AI capabilities as production services and APIs.
Seniority
Senior, hands-on IC
