Full-Stack Developer (Agent/Tool Focus)

About

The Full-Stack Developer (Agent/Tool Focus) designs and develops AI agent systems and tool integrations for a generative AI platform. This role drives agent architecture, orchestration, and migration eorts while building new capabilities that expand the platform's functionality. The Full-Stack Developer works across backend services and API layers, participates in code reviews, and helps establish development patterns across the team.

Key Responsibilities

Agent Architecture & Orchestration

• Design and implement multi-agent architectures including orchestration layers that coordinate across specialized sub-agents
• Migrate agent implementations across frameworks, ensuring feature parity and improved performance
• Architect agent workflows that handle tool-calling, context management, and multi-turn conversations reliably
• Collaborate on system architecture decisions, ensuring agent patterns are secure, performant, and maintainable

Engineering Excellence & Quality

• Develop tools and integrations that extend agent capabilities using tool-serving protocols and API development patterns
• Build and maintain backend services using modern async Python frameworks
• Work with AWS services (e.g., ECS, Lambda, S3, Bedrock, Agentcore) to deploy and operate agent systems and tool integrations
• Write evaluation tests to validate agent behavior and tool-calling accuracy using LLM evaluation frameworks
• Participate in code reviews and guide team members in development patterns, API design, and testing strategies

Quality & Testing

• Lead implementation of comprehensive test strategies for agent workflows, including unit testing, integration testing, and end-to-end testing methodologies
• Design and maintain evaluation suites that validate agent behavior, tool-calling accuracy, and response quality
• Champion test-driven development (TDD) practices and automated testing frameworks across the agent codebase
• Establish quality gates and testing patterns that the team replicates for new agent and tool development

Product & Stakeholder Collaboration

• Partner with knowledge framework developers to integrate data sources into agent tool chains
• Work on complex features requiring strong knowledge of generative AI industry practices and agent orchestration patterns
• Contribute proactively to the full product development lifecycle, from ideation through deployment
• Openly share progress and priorities with key stakeholders, communicating complex or technical information at the right level

Generative AI & Emerging Technologies

• Develop and refine integrations with large language models (LLMs) and agent frameworks as they evolve
• Stay informed of advances in agent frameworks, tool-serving protocols, and orchestration approaches
• Identify innovative applications of AI/LLM capabilities to improve agent functionality and user experience

Security & Compliance

• Assist with adherence to technology policies and comply with all security controls
• Implement secure coding practices, particularly in handling personally identifiable information (PII) and sensitive regulatory data
• Participate in threat modeling and security discussions for API and infrastructure components
• Understand and apply FINRA's security standards and best practices for regulated financial environments