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This role will lead the transition from a working prototype to a scalable, multi-user platform, enabling client development teams to safely build and extend reporting agents through controlled APIs and reusable components. You will be the first engineering lead offshore, responsible for hands-on development, platform design, and establishing engineering standards.
Job Responsibility:
Refactor an existing Python-based prototype into a modular, production-grade platform
Define clear service boundaries (API layer, orchestration, agent runtime, data access)
Build reusable components that allow extension without exposing core engine logic
Design and implement frameworks for AI agents and reporting workflows
Build orchestration for multi-step execution (deterministic + AI-driven)
Ensure outputs are traceable, auditable, and suitable for financial reporting
Enable internal/client developers to build and deploy reporting agents, reuse approved components, access platform capabilities via APIs (without direct code access)
Implement access controls and abstraction layers
Lead development across Backend: Python, FastAPI, Frontend: Next.js, Real-time: WebSockets
Build simple internal interfaces for job execution, monitoring, output review
Own development workflows in Azure DevOps
Set up CI/CD pipelines, environments (dev/test/prod), and release processes
Ensure code quality, testing, and maintainability standards
Act as the technical anchor offshore
Mentor and guide future hires as the team scales
Establish best practices across code, documentation, and delivery
Requirements:
Strong experience in Python backend development (FastAPI or similar)
Experience with React / Next.js
Familiarity with WebSockets or real-time systems
Experience building APIs and scalable backend systems
Hands-on experience with Azure DevOps (repos, pipelines, PR workflows)
Understanding of modular architecture, access control, and system design
Ability to operate in an early-stage, fast-evolving environment
8+ Years of experience
Nice to have:
Experience with AI/LLM-based systems or agent workflows
Exposure to financial services / insurance / reporting systems
Experience with Databricks or similar data platforms
Familiarity with workflow orchestration or event-driven systems