Description

Design, implement, and optimize advanced AI architectures, focusing on AWS Bedrock and agentic solutions.

This role is hybrid.

Responsibilities

• Develop scalable AI agent architectures tailored to specific business requirements.
• Fine-tune and implement Bedrock models for diverse use cases.
• Enhance model performance while balancing computational cost efficiency.
• Ensure the dependability, robustness, and accuracy of deployed AI systems.
• Refine solutions by staying current with advancements in AI/ML technologies.

Required Skills

• 8+ years of experience in AI/ML engineering.
• Proficiency in LLM-based systems and prompt engineering.
• Experience fine-tuning and deploying foundational models.
• Hands-on expertise with Python, PyTorch, and TensorFlow.
• Experience with AWS Bedrock and cloud-based AI solutions.
• Familiarity with vector databases and embeddings to optimize workflows.
• Experience with API integrations.
• Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or a related field.

Key Skills

Education

Bachelor's or Master's degrees