Description

You will design, build, and deploy advanced AI/ML systems, including agentic workflows, in production on AWS.

This role is on-site.

Responsibilities

• Design and implement agentic AI systems using LangGraph and LangChain.
• Productionize LLM-based workflows and multi-agent architectures.
• Deploy and scale AI/ML solutions on AWS infrastructure.
• Build and maintain end-to-end ML pipelines for training, inference, and monitoring.
• Continuously monitor, evaluate, and improve model and agent performance.

Required Skills

• 5+ years of experience in AI/ML engineering.
• Strong hands-on expertise with LangGraph and LangChain.
• Deep knowledge of LLMs, prompt engineering, and orchestration.
• Advanced Python programming skills.
• Proven experience deploying AI/ML solutions into production.
• Strong familiarity with AWS services (EC2, S3, Lambda, EKS, SageMaker, Bedrock).
• Understanding of cloud-native architectures and software engineering best practices.

Preferred Skills

• Experience with model deployment, monitoring, and scaling at scale.

Key Skills

Education

Any Gradute