Full Stack Engineer - Python/React.js

Position : Full-Stack Engineer - Python/Django/DRF+ReactJS (Founding Member)

Position Overview :

As a Founding - Full-Stack Software Engineer, you will build the core product AI agents and automation pipelines that take real accounting work off practitioners' plates.

This is a high-ownership, hands-on role where you work directly with the founders and PM, own features end-to-end from schema to deployment, and ship production-grade AI systems you can fully explain and defend.

Responsibilities :

- Design and build AI agent workflows using LangChain and LangGraph for document-heavy accounting tasks like tax return processing and bookkeeping automation.

- Develop and maintain Django/DRF backend APIs and ReactJS frontend components across the full product stack.

- Build document processing pipelines extraction, classification, and normalization of semi-structured financial documents (PDFs, W-2s, 1040s, K-1s).

- Implement human-in-the-loop review queues with confidence thresholds, fallback logic, and hard rule overrides for AI pipeline steps.

- Design async task workflows using Celery and Redis for long-running document jobs with retry logic, progress reporting, and failure visibility.

- Write tests for AI pipeline logic, document parsing edge cases, and multi-step agent flows where silent failures have real consequences.

- Collaborate directly with the PM to size work, surface technical constraints early, and challenge underspecified requirements before building.

Must-Have Requirements :

- 3- 5 years of full-stack development experience with Django/DRF on the backend and ReactJS on the frontend.

- Production experience building and debugging LangChain-based systems multi-step chains, tool-calling agents, or RAG pipelines shipped to real users.

- Hands-on experience with Celery + Redis for async task processing including retry logic and failure handling.

- Experience building B2B SaaS products with multi-tenant data models, role-based access control, and audit trails.

- PostgreSQL proficiency including schema design, migrations, indexing strategy, and ability to explain ORM queries in raw SQL.

- Experience with document processing pipelines extraction and normalization of semi-structured documents like scanned PDFs or financial statements.

- Demonstrated understanding of prompt engineering as an engineering discipline: versioning, output evaluation, and structured fallback logic.

Nice to Have :

- Prior exposure to tax or accounting workflows built around documents like 1040s, W-2s, K-1s, or worked at a fintech serving CPA firms.

- Experience with document OCR tools such as Unstructured.io or similar document intelligence libraries.

- AWS or GCP deployment experience including Docker-based containerization.

- Familiarity with workflow orchestration tools like Temporal or Prefect for complex multi-step pipelines.

- Experience at an early-stage startup (Seed to Series A) where specs were incomplete and ambiguity was the norm.

What We Offer :

- Direct collaboration with founders and PM your decisions shape the core product architecture.

- High ownership from day one end-to-end feature responsibility with no handoff checklists.

- Hybrid work setup based in Bengaluru with a fast-moving, technically deep team of 8.

- Competitive compensation.

- The chance to build AI infrastructure that redefines how a $150 billion industry operates.

(ref:hirist.tech)