Description

You will design, build, and deploy agentic AI systems.

Responsibilities

• Productionize LLM-based workflows and multi-agent architectures.
• Deploy and scale AI/ML solutions on AWS.
• Integrate LLMs (OpenAI, Anthropic, Bedrock, etc.) into production systems.
• Build and maintain end-to-end ML pipelines (training, inference, monitoring).
• Implement RAG pipelines using vector databases.

Required Skills

• 5+ years of experience in AI/ML engineering.
• Strong hands-on experience with AWS (EC2, S3, Lambda, EKS, SageMaker, Bedrock).
• Proven experience deploying agentic AI systems into production.
• Hands-on expertise with LangGraph and LangChain.
• Strong knowledge of LLMs, prompt engineering, and orchestration.
• Advanced Python programming skills.
• Experience with model deployment, monitoring, and scaling.
• Knowledge of cloud-native architectures.
• Solid understanding of software engineering best practices.

Key Skills

Education

Any Gradute