Lead Full-Stack Developer

Remote

About

Snowfire AI is seeking a visionary Lead Full-Stack Developer to serve as the technical lead of our engineering team. In this hands-on leadership role, you will design, build, and scale our Adaptive AI Decision Intelligence platform using AWS Cloud, AWS Bedrock, Anthropic Claude, and GitHub. You’ll architect cloud-native, AI-driven systems, optimize agent workflows, and drive innovation in a fast-paced, remote environment. This position combines deep technical expertise in full-stack development and generative AI with the ability to inspire a team and deliver transformative, scalable solutions that empower businesses to make smarter, faster decisions.

Responsibilities

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.

Skills

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.
Qualifications

Experience:

  • 5+ years of software engineering experience, including 2+ years in a technical lead role.
  • 2+ years of hands-on experience with Amazon Bedrock, with extensive expertise in AI agent development and generative AI technologies.
  • Proven success delivering high-scale, cloud-native solutions and coordinating multi-team projects.

Education:

  • Bachelor’s degree in Computer Science, Artificial Intelligence, Information Technology, or a related field (or equivalent experience).

Soft Skills:

  • Ability to work independently and remotely with strong problem-solving and analytical skills.
  • Excellent communication and collaboration abilities across all levels of stakeholders.
Bonus Points
  • Background in the technology or security industry, with a focus on AI
  • AWS certifications (e.g., AWS Solutions Architect, AWS Developer Associate).
  • Experience with infrastructure-as-code (e.g., Terraform, CloudFormation) and containerization.
  • Track record of scaling enterprise-grade AI solutions under tight timelines.
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