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Location
In office (Bengaluru)
Seniority
Staff · 10+ years exp
Employment
Full-Time

Confirmed on the employer's own hiring board on Nov 13, 2026. First seen by Alion on Nov 12, 2026.

Overview
Company
Impact
Profile match
Partner with an AI-first digital engineering company delivering data, analytics, and experience solutions to drive innovation and scalable growth.

AI-Native Full-Stack Engineer

About PureFacts

PureFacts Financial Solutions is a rapidly growing WealthTech company, committed to building world-class wealth solutions that help people live their best lives. Backed by GrowthCurve Capital, we’re on an ambitious journey to scale our business 4-10x in the next 3-5 years. To support this growth, we’re investing in top-tier talent, operations, and technology to drive excellence for our clients.

If you thrive in a high-performance, global environment and are looking to make a real impact, join us!

Role Overview

We are looking for a highly skilled Full-Stack Engineer with 10+ years of experience to join our growing Engineering team. In this role, you’ll build scalable, reliable, and impactful software that supports the core of our wealth management platform, using AI-powered development tools day-to-day to work faster and smarter. You’ll work closely with product, design, data, and AI teams to deliver solutions that solve real-world challenges for top-tier financial institutions.

This is an opportunity to work with modern engineering practices, contribute to innovative solutions, and help shape the future of financial services - while working in an environment that embraces AI tooling to boost engineering productivity.

What You’ll Do

  • Design, develop, test, and deploy high-quality full-stack applications using modern frameworks and cloud technologies.
  • Build scalable and secure APIs, services, and user interfaces that integrate with complex financial systems.
  • Collaborate with cross-functional teams (Product, Data Science, AI, UX) to translate business requirements into technical solutions.
  • Implement best practices for code quality, testing, automation, and CI/CD.
  • Contribute to architectural decisions and continuously improve system performance, reliability, and scalability.
  • Participate in code reviews, mentorship, and knowledge sharing within the engineering team.
  • Troubleshoot production issues and support a high-availability SaaS environment.
  • Use AI-assisted development tools (e.g. GitHub Copilot, Cursor, Codeium, Windsurf) as part of your daily workflow to write, test, and review code faster and more reliably.
  • Bring ideas for where AI agents or automation could simplify workflows or improve the product, and contribute to prototyping them when opportunities come up.
  • Stay current on AI-assisted engineering tools and practices, and share productivity wins with the rest of the team.

What You Bring

  • 10+ years of professional software engineering experience in full-stack development.
  • Demonstrated, hands-on experience with AI-assisted coding tools (Copilot, Cursor, Codeium, Windsurf, or similar) as an everyday part of your development workflow, not just occasional use.
  • Comfortable reviewing and validating AI-generated code before it ships - you treat AI output as a starting point, not a shortcut around good engineering judgment.
  • Solid experience with back-end technologies (.NET & C#).
  • Strong proficiency with front-end frameworks (React) and JavaScript/TypeScript.
  • Hands-on experience building RESTful APIs and integrating with cloud-based services.
  • Strong understanding of SQL/NoSQL databases (PostgreSQL, SQL Server, MongoDB, etc.).
  • Experience with CI/CD, automated testing frameworks, and Git-based workflows.
  • Familiarity with cloud platforms (especially Snowflake).
  • Passion for clean code, good design patterns, and building scalable systems.
  • Excellent communication skills and the ability to work in a collaborative, fast-paced environment.

Nice to Have

  • Experience in financial services, wealth management, or fintech.
  • Hands-on exposure to AI agents or automation - e.g. prototyping an agent workflow, building a small AI-powered tool, or having ideated on how AI agents could support a product - plus general comfort with data-intensive applications.
  • Experience is creating/using skills with Cursor for user story planning, development, and unit testing.
  • Background with microservices, event-driven architectures, or distributed systems.
  • Knowledge of security best practices, especially in regulated industries.

Why Join PureFacts

  • Opportunity to work with leading financial institutions across multiple countries.
  • Engineering culture that embraces AI tools to boost day-to-day productivity, and encourages experimenting with new technologies.
  • Collaborative culture focused on learning, growth, and meaningful impact.
  • Competitive compensation, benefits, and career development opportunities.
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