Description

You will design and build GenAI solutions for enterprise environments.

Responsibilities

• Design and develop GenAI solutions leveraging AWS services including Lambda, Bedrock, S3, and DynamoDB.
• Build and optimize RAG-based architectures using vector databases and advanced text processing.
• Develop and maintain enterprise-level MCP servers and GenAI backend services.
• Design and deploy containerized microservices using Docker and Kubernetes.
• Ensure scalability, security, and observability of GenAI solutions.

Required Skills

• 8+ years of professional experience.
• Strong understanding of AWS services: Lambda, Bedrock, MWAA, S3, DynamoDB.
• In-depth knowledge of LLM internals, RAG architectures, NLP, and text processing.
• Hands-on experience with enterprise chat systems like ChatGPT, OpenAI, or Anthropic.
• Proficiency in Docker, Kubernetes, and microservices architecture.
• Hands-on experience with vector databases such as Weaviate.
• Strong programming experience in TypeScript or JavaScript.
• Experience building enterprise-scale AI middleware platforms.
• Solid system design and problem-solving capabilities.

Key Skills

Education

Any Gradute