Senior Full Stack Engineer - PT/FT - WW

Project Overview

This is a unique opportunity to work on a financial technology project that leverages agentic AI development methodologies to deliver production-grade front-to-back office solution.

Position Summary

You'll work alongside our technical lead to orchestrate AI code generation, perform critical code reviews, and ensure system reliability. This role focuses on managing AI-generated code quality, architectural integrity, and seamless system integration rather than traditional hands-on coding.

Overview

We will be operating from spec driven workflows to maintain lean development processes.

• System coherence across AI-generated modules and integrations
• Validation of financial calculations and critical business logic accuracy
• Coding maintenance standards and architectural consistency
• Performance optimization and scalability of the overall system
• Testing frameworks for continuous validation
• Continuous integration: Automated build, test, and deployment pipelines using modern DevOps tools (Docker, Kubernetes, cloud platforms)
• Intelligent monitoring: AI-powered system health tracking, performance monitoring, and anomaly detection for trading systems
• Lean processes: Minimize manual coding, maximum automation, focus on orchestration and quality control
• Should be skilled at structuring complex prompts, managing conversation context, and maintaining coherent AI outputs across large codebases
• Automation minded - comfortable with agentic workflows, automated testing, and context engineering
• Specific tools / protocols:
--- Throttling between Anthropic, Gemini, and Hailuo API’s for development orchestration based on logic needs, rate limiting and task (e.g. Claude Sonnet [task/logic] Minimax M1 [Taks logic] Claude Opus [Heavy logic]).
--- Using structured spec-dev environment BMAD or custom environment.
--- RAG/knowledge graphs and memory layers like Byterover for context window chaining.
--- Copilotkit A2A for in-app AI functionality.
--- Pydantic + Langchain/Langraph for backend agentic capability

Additional Responsibilities

• AI Code Orchestration: Guide AI assistants in generating microservices architecture for trade lifecycle management
• Integration Oversight: Manage AI development of connections to financial APIs, trading platforms, market data feeds)
• Dashboard Architecture: Coordinate AI-built React dashboards with WebSocket real-time updates for risk monitoring
• Agent Development: Oversee creation of agents for trade normalization, reconciliation, and workflow automation
• Permission Systems: Ensure AI-generated code implements granular access control across user roles and trading books
• Performance Optimization: Guide AI in optimizing database queries for time-series financial data and real-time calculations
• Financial Validation: Collaborate with domain experts on accuracy of AI-generated pricing models and risk calculations
• Quality Gates: Implement testing frameworks and validation processes for all AI-generated financial components

Technical Challenges
• Financial Accuracy: Orchestrate AI development of dual-verification systems for pricing/P&L calculations using libraries like QuantLib
• Complex Data Integration: Manage AI-generated code for structuring niche financial contracts and derivatives data from multiple sources
• Real-time Processing: Ensure AI-built systems handle live market data feeds with low latent/sub-second P&L updates and risk calculations
• AI Quality Control: Implement guardrails and validation processes to prevent hallucination in critical financial calculations
• Multi-asset Complexity: Oversee development of systems handling diverse asset classes (FX, rates, equities, derivatives) with different pricing models

Technical Foundation
• Full-stack understanding - backend APIs (e.g., Python/FastAPI), frontend frameworks (e.g., React), databases (e.g., PostgreSQL), cloud infrastructure
• Financial domain knowledge - P&L calculations, risk management, trading workflows, market data integration preferred
• Testing and validation - ensuring accuracy in mission-critical applications, financial calculation verification
• DevOps awareness - CI/CD pipelines, containerization (Docker), cloud deployment, monitoring and system reliability

Development Philosophy
• Quality over speed: Financial accuracy is non-negotiable
• Iterative refinement: Continuous improvement of AI outputs and system performance
• Business alignment: Every technical decision supports trading operations
• Future-ready architecture: Built to scale from startup to enterprise

Remote-First Environment
• Flexible hours with core collaboration time
• Modern development tools and cloud infrastructure provided
• Regular stakeholder demos and feedback sessions
• Autonomous work style with clear deliverables and milestones