1933 Senior Full Stack AI Engineer

We are looking for a Senior Full Stack AI Engineer with a strong AI-first mindset to help accelerate the development of a fast-growing product. This is a hands-on role for an engineer who can transform complex business requirements into secure tested scalable production-ready software.

The ideal candidate combines strong Full Stack development skills with meaningful hands-on experience using Claude/Anthropic and modern AI/LLM technologies as well as practical knowledge of Azure DevOps and secure software development.

• 4 years of professional software engineering experience with a strong Full Stack background; 56 years and senior-level ownership are highly valued.
  
• Strong experience with Python React TypeScript/JavaScript and PostgreSQL.
  
• Demonstrable hands-on experience with Anthropic / Claude ideally building solutions from scratch through production deployment.
  
• Experience developing AI/LLM applications AI agents agent harnesses or AI-powered workflows.
  
• Practical experience with Azure cloud deployments and application infrastructure.
  
• Knowledge of DevOps CI/CD and deployment workflows.
  
• Strong testing and QA mindset including the ability to validate code specifications and AI-generated artifacts.
  
• Knowledge of application and data security best practices.
  
• Advanced English with strong communication and collaboration skills.
  
• Self-directed accountable and comfortable working remotely in a fast-paced environment.
  

Experience with FinTech SaaS regulated or security-sensitive products product-led development teams OpenAI and other LLM tools/frameworks and scaling early-stage or rapidly growing products.

• Design build test and deploy full stack solutions using Python React TypeScript/JavaScript and PostgreSQL.
  
• Build AI-powered features using Claude and Anthropic tools including AI agents agent harnesses and LLM workflows.
  
• Develop integrate test and optimize AI/LLM solutions from initial design through production deployment.
  
• Translate product and business requirements into technical solutions and implementation plans.
  
• Own software quality through testing debugging code validation and review of AI-generated code and specifications.
  
• Build and maintain cloud infrastructure and deployment workflows in Azure applying solid DevOps and CI/CD practices.
  
• Develop solutions with security data protection scalability and maintainability in mind.
  
• Collaborate directly with the CTO product owners and other stakeholders clearly communicating technical decisions progress and tradeoffs.
  
• Contribute to architecture decisions engineering standards and continuous technical improvements.