Software Engineer II - Python AI Engineer
Core
Build and orchestrate next-generation Agentic AI systems and productionize sophisticated Machine Learning models for a Data Science/AI Platform.
Role type
Senior IC Machine Learning Engineer (Agentic AI & MLOps)
Builds
Autonomous agent systems, scalable ML APIs, and cloud-native AI/ML inference infrastructure
Domain
Artificial Intelligence, Machine Learning, Cloud Infrastructure (AWS)
Deliverable
production ML models
Required skills
Python, distributed cloud-native services, MLOps lifecycle, AWS ecosystem (Lambda, Step Functions, ECS/EKS, EventBridge, S3), Infrastructure as Code (Terraform), RAG pipelines, FastAPI, Splunk, CloudWatch
Preferred skills
AgentCore runtime, LangGraph, Amazon Bedrock/OpenAI/Anthropic APIs, LLM reasoning, asynchronous event-driven architectures, unit testing, regression testing
Technologies
AgentCore, LangGraph, Amazon Bedrock, OpenAI, Anthropic, FastAPI, AWS Lambda, AWS Step Functions, AWS ECS, AWS EKS, AWS EventBridge, AWS S3, Terraform, Splunk, CloudWatch
Responsibilities
Design and implement autonomous agents using AgentCore and LangGraph; Partner with Data Scientists to transform research-grade code into scalable AWS APIs; Research and test new AI technologies and frameworks; Build and maintain cloud-native infrastructure for AI/ML inference; Implement monitoring and alerting using Splunk and CloudWatch; Participate in code reviews and define engineering standards
Seniority
Senior, hands-on IC
