AI Engineer II
Core
Build and deploy autonomous AI agents, RAG pipelines, and secure AI microservices to optimize network performance and customer experience for enterprise operations.
Role type
Mid-level Generative AI Engineer (MLOps)
Builds
Scalable ML models, real-time analytics frameworks, and intelligent automation pipelines
Domain
Enterprise cloud-native environments, Satellite/Telecom connectivity
Deliverable
production ML models
Required skills
Python, FastAPI, AWS AI stack (Bedrock, SageMaker), MLOps, Docker, Pandas, NumPy
Preferred skills
Amazon NLX, LangGraph, AutoGen, Model Context Protocol (MCP)
Technologies
Amazon Bedrock, OpenSearch, Model Context Protocol (MCP), AWS, FastAPI, Docker
Responsibilities
Build and deploy autonomous AI agents and RAG pipelines; Implement Guardrails for responsible AI usage; Design and maintain low-latency RESTful APIs and MLOps pipelines; Partner with stakeholders to align AI deliverables with OKRs; Optimize network performance by integrating deep learning and LLM microservices
Seniority
Mid-level, hands-on IC
