Software Engineer/Sr. Software Engineer

Job Description

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.