Description

You will design and develop GenAI solutions within an enterprise environment.

You will own the release pipeline and architecture for scalable AI systems.

Responsibilities

• Design and develop GenAI solutions leveraging AWS services like Lambda, Bedrock, S3, and DynamoDB.
• Build and optimize RAG-based architectures using vector databases and text processing techniques.
• 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 pipelines.
• Hands-on experience with enterprise chat systems (ChatGPT, OpenAI, Anthropic, Ollama).
• Proficiency in Docker, Kubernetes, and microservices architecture.
• Hands-on experience with vector databases such as Weaviate.
• Strong programming experience in TypeScript / JavaScript.
• Familiarity with CI/CD Pipelines and MLOps practices for GenAI.
• Problem-solving and system design skills.

Key Skills

Education

Any Gradute