Description

Design, develop, and deploy AI/ML and Generative AI solutions on AWS, focusing on intelligent applications, agent orchestration, and scalable inference workflows.

This role is on-site.

Responsibilities

• Build intelligent applications using Amazon Bedrock, foundation models, embeddings, knowledge bases, guardrails, and agent capabilities.
• Develop and manage AI agents using AgentCore services for orchestration, tool usage, reasoning workflows, and multi-step task execution.
• Create and optimize RAG-based solutions using enterprise data sources, vector stores, retrieval pipelines, and prompt orchestration.
• Implement MLOps/LLMOps practices including deployment pipelines, monitoring, evaluation, versioning, and continuous improvement.
• Monitor production performance for latency, quality, cost, and reliability while ensuring secure and governed AI systems.

Required Skills

• 5+ years of experience in AI/ML engineering, software engineering, or cloud AI solution development.
• Strong programming skills in Python; knowledge of Java, Node.js, or TypeScript is a plus.
• Hands-on experience with AWS cloud services, including Lambda, API Gateway, Step Functions, ECS/EKS, and SageMaker.
• Strong experience with Amazon Bedrock, including foundation model integration, prompt engineering, embeddings, knowledge bases, guardrails, and agents.
• Experience building LLM applications, including RAG architecture, prompt orchestration, vector search, and multi-agent systems.
• Familiarity with AWS services such as S3, CloudWatch, IAM, DynamoDB, RDS, Redshift, and OpenSearch.
• Experience with ML/AI frameworks such as LangChain, LlamaIndex, or Hugging Face.
• Good understanding of MLOps/LLMOps, CI/CD, Docker, and Infrastructure as Code using Terraform or CloudFormation.
• Bachelor's degree in computer science, Artificial Intelligence, Data Science, Machine Learning, or related field.

Preferred Skills

• AWS certifications such as AWS Certified Machine Learning – Specialty, Solutions Architect, or Developer – Associate.
• Experience implementing enterprise-grade GenAI solutions on AWS.
• Experience designing agentic workflows and autonomous task-based systems.

Key Skills

Education

Bachelor's degree