Key Responsibilities

• Develop LLM-based multi-agent architectures for customer interaction and production workflow automation
• Build predictive ML models for classification and cost estimation
• Build image analysis solutions for compliance validation
• Architect and deploy cloud-native, microservices-based AI platforms on AWS Bedrock using Lambda, S3, API Gateway, and Step Functions
• Apply AI governance frameworks, secure secrets management, continuous model evaluation, and rigorous testing for enterprise-grade accuracy, performance, and scalability

Requirements

• 8-10 years of experience in AI engineering/architecture
• Deep production experience with LLMs, RAG architectures, prompt engineering, and AWS Bedrock (Claude, Titan, etc.)
• Hands-on design of multi-agent orchestration pipelines using LangChain, Semantic Kernel, or similar tools
• Advanced proficiency in Python with PyTorch, TensorFlow, or Scikit-learn
• Exposure to Computer Vision (OpenCV, CNNs, Vision Transformers) is a plus
• Exposure to utility domains (SPD/GIS-based systems) and MLOps/LLMOps pipelines is a plus

Skills Required