Compute System Arch Engineer, AI Infra - New College Grad 2027
Core
Design and develop reusable AI infrastructure components, LLM service integrations, and agent execution frameworks to transform engineering data into accessible knowledge and enable AI agents for complex tasks.
Role type
Compute System Architect (AI Infrastructure)
Builds
Knowledge platforms, RAG systems, multi-agent workflows, and model-serving infrastructure for engineering teams.
Domain
AI Infrastructure / Machine Learning Engineering
Deliverable
production ML models
Required skills
Python, Linux, CI/CD, LLM application infrastructure, RAG systems, agent platforms, backend services, databases, data processing, debugging, testing
Preferred skills
C++, computer architecture, GPUs, compilers, hardware verification, knowledge graphs, ontology modeling, AI evaluation, security testing, prompt-injection defenses
Technologies
LLM APIs, embeddings, vector search, keyword search, reranking, MCP, task scheduling, failure recovery
Responsibilities
Design reusable AI platform components and services; Build data ingestion and processing pipelines for heterogeneous sources; Develop retrieval-augmented generation (RAG) and knowledge infrastructure; Develop agentic and multi-agent workflows; Build evaluation and observability systems; Own platform deployment and maintenance; Collaborate with domain experts to translate needs into platform capabilities.
Seniority
Junior (New College Grad 2027)
