Description

You will design and develop Generative AI solutions using Large Language Models (LLMs) and deploy end-to-end AI/ML pipelines on cloud infrastructure.

This role is on-site.

Responsibilities

• Build and deploy LLM integrations, prompt engineering systems, and model fine-tuning workflows.
• Develop and implement API-based AI services for business-driven use cases.
• Ensure scalability, performance, and reliability of AI solutions deployed on AWS cloud infrastructure.
• Contribute to solution architecture for cloud-based AI deployments.
• Collaborate with cross-functional teams to deliver AI capabilities.

Required Skills

• 6+ years of hands-on experience with Generative AI and LLMs (OpenAI, Bedrock, Hugging Face).
• Strong proficiency in Python programming and relevant AI/ML frameworks.
• Experience with prompt engineering, embeddings, and vector databases.
• Practical exposure to AI workloads and ML concepts in an AWS environment.
• Strong understanding of cloud architecture, deployment, and API integrations.
• Experience building or working on AI solutions hosted on cloud platforms.
• Bachelor's degree in Computer Science or related field.

Preferred Skills

• Experience with MLOps pipelines and enterprise AI deployments.
• Familiarity with AWS Bedrock, SageMaker, or Azure.

Key Skills

Education

Bachelor's degree