Software Engineer/Sr. Software Engineer

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

Experience:

Location:

Type:

Tech Stack:

About the Role

AI-driven financial intelligence platform

Senior Software Engineer (Full Stack)

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

Tech Stack Overview:

Technologies

Frontend:

Backend:

AI / Agentic Layer:

Developer Tooling:

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.