Lead AI Innovation: Design and implement AI agents using Amazon Bedrock’s foundation models (e.g., Anthropic Claude), delivering production-ready solutions integrated with existing infrastructure.

Scale Systems: Architect and optimize robust, cloud-native systems on AWS to process billions of decision-critical data points in real time, ensuring scalability and performance.

Drive Impact: Collaborate with cross-functional teams and customers to translate business requirements into technical specifications, delivering business-critical projects that redefine decision-making.

Optimize AI Workflows: Create and refine agent workflows using advanced prompt engineering, orchestration frameworks, and robust error handling, monitored for peak performance.

Build Excellence: Oversee GitHub-based codebases, implementing CI/CD pipelines and best practices to ensure secure, scalable, and maintainable solutions.

Full-Stack Development: Design and develop full-stack applications hosted on AWS Cloud (e.g., EC2, Lambda, S3, API Gateway), integrating Anthropic Claude via AWS Bedrock.

AI Agent Development: Develop and customize AI agents and multi-agent systems to solve complex business challenges using foundation models.

Architecture Design: Create secure, scalable architectures with comprehensive documentation for AI implementations.

Model Integration: Evaluate and integrate various AI models to enhance adaptability and intelligence in decision-making workflows.

Team Leadership: Mentor a team of developers, fostering a culture of innovation and technical excellence in a remote environment.

Business Alignment: Enhance business operations and efficiency by delivering technology solutions aligned with Snowfire AI’s mission.

Technical Skills:

• Proficiency in AWS Cloud and Amazon Bedrock for deploying and managing foundation models (e.g., Anthropic Claude).
• Strong Python programming skills, with exposure to AWS Lambda and Bedrock API interactions.
• Expertise in GitHub for version control, CI/CD, and team collaboration.
• Deep understanding of large language models, prompt engineering, and agent orchestration.
• Experience with REST API development, microservices, and full-stack frameworks (e.g., React, Django).
• Knowledge of machine learning fundamentals and cloud-native development practices.

Leadership Skills:

• Ability to inspire and motivate teams to achieve ambitious goals in a remote, dynamic setting.
• Strategic thinking with a passion for leveraging technology to solve complex problems.