AI Application Engineer
Core
Design, develop, and deploy scalable AI-driven applications, agents, and multi-agent systems using Python and cloud-native services.
Role type
Senior AI Application Engineer (Backend/Agentic AI)
Builds
Production-grade AI agents, multi-agent systems, and backend services integrating foundation models.
Domain
Artificial Intelligence / Cloud Engineering
Deliverable
production ML models
Required skills
Python, AI/ML frameworks, RESTful APIs, microservices, AWS/Azure, Docker, Kubernetes, MLOps, agentic AI platforms (AWS Bedrock AgentCore, LangGraph), model serving, data pipelines, feature engineering, observability, tool integration, workflow orchestration, memory management, human-in-the-loop interactions.
Preferred skills
AI-assisted software development tools (Claude Code, OpenAI Codex, Cursor), enterprise system integration.
Technologies
Python, AWS Bedrock AgentCore, LangGraph, Docker, Kubernetes, AWS, Azure, RESTful APIs, MLOps tools.
Responsibilities
Design and implement AI-driven applications and services; develop, integrate, and deploy AI models and APIs into scalable agentic designs; contribute to AI architecture design including model selection and deployment strategies; evaluate and implement agent orchestration, memory, and governance capabilities; drive continuous improvement in AI development processes and engineering standards.
Seniority
Senior, hands-on IC
