Full-Stack Developer (Agent/Tooling)
ARCHIVED
We can't find an active application page for this role right now. It may reopen or be listed elsewhere. Use Next Steps to search for an active apply link and similar live jobs.
Full-Stack Developer (Agent/Tool Focus)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 ResponsibilitiesAgent Architecture & Orchestration Design and implement multi-agent architectures including orchestration layers thatcoordinate across specialized sub-agents Migrate agent implementations across frameworks, ensuring feature parity andimproved 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 maintainableEngineering Excellence & Quality Develop tools and integrations that extend agent capabilities using tool-servingprotocols 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 andoperate agent systems and tool integrations Write evaluation tests to validate agent behavior and tool-calling accuracy usingLLM evaluation frameworks Participate in code reviews and guide team members in development patterns, APIdesign, and testing strategiesQuality & 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-callingaccuracy, and response quality Champion test-driven development (TDD) practices and automated testingframeworks across the agent codebase Establish quality gates and testing patterns that the team replicates for new agent and tool developmentProduct & Stakeholder Collaboration Partner with knowledge framework developers to integrate data sources into agenttool chains Work on complex features requiring strong knowledge of generative AI industrypractices and agent orchestration patterns Contribute proactively to the full product development lifecycle, from ideationthrough deployment Openly share progress and priorities with key stakeholders, communicatingcomplex or technical information at the right levelGenerative AI & Emerging Technologies Develop and refine integrations with large language models (LLMs) and agentframeworks as they evolve Stay informed of advances in agent frameworks, tool-serving protocols, andorchestration approaches Identify innovative applications of AI/LLM capabilities to improve agent functionalityand user experienceSecurity & Compliance Assist with adherence to technology policies and comply with all security controls Implement secure coding practices, particularly in handling personally identifiableinformation (PII) and sensitive regulatory data Participate in threat modeling and security discussions for API and infrastructurecomponents Understand and apply FINRA's security standards and best practices for regulatedfinancial environments