Software Development Engineer

PinSec.Ai; Chennai District; On-site; INR 1,200,000 - 1,800,000; Full time

Benefits offered by this job

Competitive pay

Ownership of production code

Work on frontier AI infrastructure

Direct mentorship from founders

Team engagement

Job summary

PinSec.AI in Chennai seeks a Software Development Engineer (Full-Stack + AI Engineering) with 1–2 years’ experience for an in-office role. You will build scalable web apps using React.js/Next.js, frontend to backend services in Python/JS, and leverage AI tooling for faster delivery.

Join a small, agile team advancing AI-driven wealth management, with exposure to GPUs, RAG pipelines, and vector databases. Offe rs growth and mentorship in a hands-on environment.

Qualifications

• Strong fundamentals in CS, data structures, algorithms, and problem solving.
• Hands-on 1–2 years of frontend with HTML5, CSS3, JS/TS, React/Next.js.
• Backend experience with Python and frameworks like FastAPI/Django/Flask.
• Familiarity with databases such as PostgreSQL/MySQL/MongoDB/Redis.
• Knowledge of Git, Docker, Linux, and CI/CD basics.
• Awareness of AI-assisted tooling for development speed and quality.

Responsibilities

• Develop and maintain scalable web apps using React.js/Next.js, JS/TS, HTML5 and CSS3.
• Build reusable frontend components with performance and usability focus.
• Design and develop backend services, APIs, and tools using Python/JS.
• Work with PostgreSQL, Redis, MongoDB or similar databases.
• Write clean, maintainable, well-documented code.
• Collaborate with product, research, and trading teams to deliver software.
• Debug and optimize frontend, backend, and system issues.
• Support API integrations and automation workflows.
• Contribute to deployment, testing, and basic DevOps.
• Explore AI development initiatives like RAG pipelines and local LLMs.

Skills

React.js

Next.js

JavaScript

TypeScript

HTML5

CSS3

Python

FastAPI/Django/Flask

PostgreSQL

MongoDB

Redis

Git/GitHub

Docker

REST APIs

AI tooling (Copilot/Codex/ChatGPT)

Debugging

Linux

Tools

Postman

Job description

Job Description:

Software Development Engineer (Full-Stack + AI Engineering)
On Role: Full-time, In-office (Chennai)
Experience: 1–2 Years

About Us

PinSec.AI is building India’s first vertical AI stack for wealth management.

The industry has run on people for 200 years. Were rebuilding it with our AI layer. Hivemind is our inference engine, running on our own GPUs, trained on more than 650B+ market data points and regulatory rules. Ira is the conversational layer on top of it, live in 12 languages, taking a client from first conversation to an executed investment — fully automated, leaving humans to do what theyre best at: building trust and relationships.

Were a small, agile, fast-growing team. SEBI-registered Investment Advisor (RIA), part of NVIDIA Inception and AWS Activate. Were live in the India markets and expanding globally. If you want to work on the future of wealth management and trading, and rebuild the industry with AI, we should talk.

Join us — build what wealth management runs on.

Responsibilities:

As an SDE at PinSec.Ai, you will:

• Develop and maintain scalable web applications using modern frontend technologies such as React.js/Next.js, JavaScript/TypeScript, HTML5, and CSS3.

• Build clean, responsive, and reusable frontend components with a strong focus on performance, usability, and maintainability.

• Design and develop backend services, APIs, and internal tools using Python and JavaScript-based backend frameworks.

• Work with databases such as PostgreSQL, Redis, MongoDB, or similar systems to build reliable and efficient data-driven applications.

• Write clean, modular, and well-documented code following software engineering best practices.

• Use modern AI-assisted development tools such as GitHub Copilot, Codex, Claude, ChatGPT, or similar tools to improve development speed, debugging, documentation, and code quality.

• Collaborate with product, research, trading, and technology teams to convert business and technical requirements into working software solutions.

• Debug, troubleshoot, and optimize frontend, backend, and system-level issues across the application stack.

• Support API integrations, third-party services, automation workflows, and internal platform development.

• Contribute to deployment workflows, version control, testing, documentation, and basic DevOps practices where required.

• Explore and assist with AI-related software development initiatives such as RAG pipelines, vector databases, local LLM experimentation, model integration, and AI-powered developer/product features.

Qualifications

Our ideal candidate will have:

• Strong understanding of software development fundamentals, data structures, algorithms, and problem-solving.

• Hands-on experience of 1-2 years and strong working knowledge of frontend technologies such as HTML5, CSS3, JavaScript, TypeScript, React.js, Next.js, or similar frameworks.

• Good understanding of backend development using Python and/or JavaScript-based frameworks such as FastAPI, Django, Flask, Node.js, or Express.js.

• Familiarity with C++ fundamentals for understanding performance-oriented systems, logic building, and low-level programming concepts.

• Understanding of REST APIs, authentication, authorization, database design, and backend service architecture.

• Working knowledge of databases such as PostgreSQL, MySQL, MongoDB, Redis, or similar technologies.

• Familiarity with Git, GitLab/GitHub, Docker, Linux commands, Postman, VS Code, and common development workflows.

• Ability to write clean, readable, maintainable, and well-documented code.

• Familiarity with AI-assisted software development tools such as GitHub Copilot, Codex, Claude, ChatGPT, Cursor, or similar tools.

• Strong debugging, analytical, and communication skills with the ability to work independently and in a team environment.

• Basic understanding of deployment, CI/CD, cloud platforms, and production application workflows is preferred.

• Exposure to AI engineering concepts such as vector databases, embeddings, RAG, LLM APIs, local LLM setup, fine-tuning, model deployment, or AI agents will be an added advantage.

  Interest in financial markets, trading systems, data-driven platforms, or quantitative technology is preferred but not mandatory.

Our Perks:

• Competitive Compensation: Among the best for the role in the space.
• Real Ownership: You ship to production. No shadow projects.
• Work on Frontier AI: Hands-on with our own GPU cluster, LLM infrastructure, and inference stack.
• Direct Mentorship: Work alongside founders, quants, and senior engineers from day one.
• Team Engagement: Regular social events and team outings.