Description

You will build scalable, secure, and high-performing AI-powered chat experiences using agentic architectures.

Responsibilities

• Build and integrate AI experiences using agentic architectures (Bedrock, LangGraph).
• Integrate with key APIs (Accounts, Holdings, Portfolio Watch, Transactions) for real-time responses.
• Contribute to the evolution of the assistant from MVP to a cross-platform product.
• Implement tooling for evaluation, observability, and monitoring of generative AI deployments.
• Provide intermediate system analysis, design, development, and implementation of applications.

Required Skills

• 5+ years of related work experience, with at least one year of development experience.
• Experience with Python and TypeScript.
• Proficiency with AWS services (Lambda, ECS, DynamoDB, CloudFormation, CloudWatch).
• Experience with observability tools like Splunk and Honeycomb.
• Knowledge of agentic frameworks such as LangGraph and Bedrock.
• Ability to translate technical specifications into code for complex projects.
• Understanding of software development methodologies and design standards.
• Undergraduate degree or equivalent combination of training and experience.

Key Skills

Education

Any Graduate