Senior Software Engineer

Senior Software Engineer (Full Stack – Next.js + FastAPI + AI Agents)

Experience: 2+ years

Location: Gurgaon (Onsite)

Type: Full-Time

Tech Stack: Next.js 14 · FastAPI · LangChain · PostgreSQL · Pandas · OpenAI

About the Role

We’re building the next-generation AI-driven financial intelligence platform -blending clean frontend design, high-performance backend systems, and autonomous AI agents that reason over financial documents.

As a Senior Software Engineer (Full Stack), you’ll take ownership across the stack -from architecting scalable APIs and building interactive dashboards to integrating advanced LLM agents using LangChain and OpenAI APIs.

You’ll work on real-world data (SEC filings, financial statements, analytics pipelines) and bring agentic intelligence to life in production.

Tech Stack Overview:

Layer: Core Technologies

Frontend: Next.js 14 (App Router), React 18, TypeScript, Tailwind CSS, shadcn/ui, React Query, Zustand, framer Motion

Backend: FastAPI, Uvicorn, Gunicorn, Pandas, Pydantic, SQLAlchemy, PostgreSQL

AI / Agentic Layer: LangChain, LlamaIndex, OpenAI / Anthropic APIs, Chroma / Weaviate

Developer Tooling: Docker, Git (Bitbucket), Postman / Bruno, VS Code, JupyterLab

 What You’ll Build

• Full-Stack Web Apps:
• Build rich, performant web applications using Next.js 14, TypeScript, and Tailwind.
• Integrate FastAPI endpoints for analytics, document uploads, and agent workflows.
• Agentic AI Workflows:
• Design and implement LangChain-based AI agents that can:
• Parse and summarize SEC filings (10-K, 10-Q)
• Extract and clean tabular data with Pandas
• Stream results live via WebSockets or SSE
• Backend APIs & Data Pipelines:
• Develop high-performance FastAPI endpoints using async I/O, SQLAlchemy ORM, and PostgreSQL.
• Orchestrate data transformation and ETL flows using Pandas and Openpyxl.
• LLM & RAG Integration:
• Integrate GPT-4 / Claude 3.5 models for financial analysis, text synthesis, and document retrieval using LlamaIndex or LangChain.
• Secure & Scalable Architecture:
• Implement JWT-based auth (or NextAuth), containerize with Docker, and deploy production-ready services behind Nginx.

Key Responsibilities

• Architect and develop end-to-end product features across frontend, backend, and AI layers.
• Design and optimize ETL pipelines for financial data ingestion and transformation.
• Build modular, type-safe frontend components using shadcn/ui and TypeScript.
• Develop and maintain REST & WebSocket APIs for real-time streaming.
• Integrate AI models (OpenAI / Anthropic) via LangChain agents.
• Collaborate on database design, migrations, and ORM logic in PostgreSQL.
• Ensure clean, maintainable, and well-documented code following modern dev standards.
• Participate in code reviews, system design discussions, and deployment automation.

Desired Skills & Expertise

Frontend:

• Strong grasp of React, Next.js 13/14, TypeScript, and React Query / Zustand
• Deep understanding of Tailwind CSS, shadcn/ui, and component-driven design

Backend:

• Proficient in FastAPI, Pandas, SQLAlchemy, and PostgreSQL
• Solid knowledge of asynchronous Python, Pydantic, and REST API design

AI Layer:

• Hands-on experience with LangChain, LlamaIndex, or RAG pipelines
• Familiarity with OpenAI / Anthropic SDKs and agentic workflows

Bonus Points:

• Experience with Docker and cloud deployment (AWS/GCP)
• Familiarity with Vector Databases (Chroma, Weaviate, FAISS)
• Understanding of financial data, SEC filings, or quantitative analytics
• Background in LLM orchestration or AI tool-building

🎯 What Success Looks Like

• You ship production-grade features end-to-end -from frontend UI to backend APIs.
• You optimize agentic workflows that handle real-time document parsing and summarization.
• You write efficient, reusable code that’s both clean and elegant.
• You demonstrate ownership -solving complex data problems without constant oversight.
• You contribute to an ecosystem that merges engineering + data + intelligence seamlessly.

🌍 Why Join Us

• Build the first-of-its-kind AI financial research platform used by analysts, investors, and institutions.
• Work directly on real agentic AI systems (LangChain + FastAPI)
• Freedom to own architecture, make decisions, and ship impact.