Senior Full-Stack GenAI Platform Developer

The Senior Full-Stack GenAI Platform Developer contribute to the development of robust, scalable software solutions across the full stack—from backend APIs to frontend interfaces to cloud infrastructure—supporting a cutting-edge generative AI regulatory chat assistant. Working under minimal supervision, the Senior Developer will develop, test, debug, and document software components with strong technical expertise, working in close collaboration with more senior development staff and peers.

This role emphasizes autonomous feature delivery, technical depth in assigned areas, and readiness to learn and master new technologies and methodologies in support of a fast‑paced, product‑focused engineering effort.

• Contribute to frontend development using VueJS , being proactive, vigilant, and passionate about delivering a seamless user experience

• Build scalable cloud‑native components leveraging AWS services, including Bedrock, S3, Fargate, Aurora, Lambda, and Step Functions

• Review and analyze complex process, system, and/or data requirements and specifications to inform implementation

• Develop and execute comprehensive test strategies, including unit testing, integration testing, and end‑to‑end testing methodologies

• Implement test‑driven development (TDD) practices and extend automated testing to ensure code reliability

• Champion the collaborative resolution of defects, working closely with peers to understand root causes and prevent recurrence

• Ensure all work products meet or exceed FINRA and team standards for code quality, performance, and security

• Contribute to implementing and maintaining CI/CD pipelines, leveraging Jenkins and version control systems (Git)

• Assist with architecting and developing cloud‑native solutions, gaining hands‑on experience with AWS deployment patterns

• Identify opportunities to improve development infrastructure and processes, offering suggestions to technical leadership

• Work effectively with containerization (Docker) and understand orchestration principles

• Interface with team members in peer review of requirements, specifications, and software

• Document and communicate development status in a timely manner , including metric reporting and technical findings

• Serve as a strong peer reviewer, providing constructive feedback on code and design decisions

• Demonstrate ability to develop effective working relationships with teammates and cross‑functional collaborators

• Communicate technical concepts clearly to both technical and non‑technical stakeholders

• Contribute to the integration of large language models (LLMs) and generative AI technologies into the platform

• Implement secure patterns for handling sensitive data within AI‑powered workflows, maintaining compliance with regulatory requirements

• Stay informed of advances in LLM frameworks ( Lang Chain , Lang Graph ), optimization approaches ( LiteLLM Proxy), and emerging AI capabilities

• Participate in design and code reviews that incorporate AI/LLM considerations

• 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

• Maintain focus and develop proficiency in new skills rapidly, including Python, FastAPI , AWS services, VueJS , and emerging frameworks

• Actively seek feedback and mentorship from senior technical leaders

• Demonstrate curiosity and passion for learning new technologies , methodologies, and industry practices

• Assist in creating software engineering strategies that help identify and mitigate risks

• Bachelor’s degree in Computer Science, Information Systems or related discipline with at least five (5) years of related experience, or…