Description

You will design, build, and optimize AI solutions leveraging large language models and generative AI patterns.

Responsibilities

• Fine-tune and optimize Large Language Models (LLMs) for specific application needs.
• Implement and manage agentic AI workflows using concepts like RAG and MCP.
• Develop and deploy AI models on AWS services, including SageMaker and Lambda.
• Orchestrate automated workflows using platforms like n8n or Zapier.

Required Skills

• 5+ years of professional experience in AI/ML engineering.
• Deep expertise in LLMs, including fine-tuning and prompt engineering.
• Strong proficiency in Python.
• Hands-on experience with AWS services (Lambda, SageMaker, Bedrock).
• Familiarity with AI providers such as OpenAI.
• Understanding of Generative AI (GenAI) and agentic AI concepts.
• Experience with MCP (Memory-Context-Persistence) patterns.

Key Skills

Education

Any Graduate