AI Application Engineer
Core
Design, develop, and deploy enterprise-grade AI agents and multi-agent systems to address complex business challenges and generate value for customers.
Role type
Senior AI Application Engineer (Agentic AI)
Builds
Scalable AI agentic designs, enterprise-grade AI agents, and multi-agent systems
Domain
Cloud-native AI engineering and Agentic AI
Deliverable
production ML models
Required skills
Python, AI/ML frameworks, RESTful APIs, microservices, cloud platforms (AWS/Azure), containerization (Docker, Kubernetes), MLOps, agentic AI platforms (AWS Bedrock AgentCore, LangGraph), data pipelines, feature engineering, model serving
Preferred skills
AI-assisted software development tools (Claude Code, OpenAI Codex, Cursor), foundation models integration, observability, governance
Technologies
Python, AWS Bedrock AgentCore, LangGraph, Docker, Kubernetes, AWS, Azure
Responsibilities
Design and implement AI-driven applications and services; Develop, integrate, and deploy AI models, algorithms, and APIs; Contribute to AI architecture design including model selection and deployment strategies; Evaluate and implement agent orchestration, memory, tool integration, and observability; Drive continuous improvement initiatives across AI development processes and technology stack
Seniority
Senior, hands-on IC
