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.