AI Engineer: Gen AI Evaluation & MCP
Core
Design, build, test, deploy, and support scalable AI systems including LLM inference, agentic workflows, and multi-model orchestration pipelines to optimize cost, latency, and throughput.
Role type
Senior IC AI Engineer (Gen AI Evaluation & MCP)
Builds
Production AI systems, agentic workflows, and multi-model orchestration pipelines
Domain
Financial services / Generative AI / Large Language Models
Deliverable
production ML models
Required skills
LLM inference, agentic AI systems, multi-model orchestration, model evaluation, vector search, guardrails, model compression, hardware optimization, cloud deployment (AWS/GCP/Azure), Python, Go, CUDA, Java, C++, C#
Preferred skills
Foundation model training, multi-agent workflows, technical roadmap planning, team mentorship
Technologies
PyTorch, Hugging Face, VectorDBs, AWS Ultraclusters, MCP
Responsibilities
Design and implement multi-model orchestration pipelines combining LLMs, vector search, and domain-specific models; Lead cost-performance governance reviews tracking GPU utilization and inference cost; Mentor Principal- and Manager-level AI engineers; Architect and integrate heterogeneous AI systems into unified production pipelines; Define and enforce standards for ethical AI deployment including explainability and fairness.
Seniority
Senior, hands-on IC with mentorship responsibilities
