Software Engineer - Python Full-Stack & AI (BLR)

Work Location:

• Bengaluru/Bangalore (Hybrid)

Compensation:

• ₹25,00,000 – ₹60,00,000 (Salary commensurate with level of experience/skills. Please refer to the levels outlined below.)
• For Senior++ levels, compensation is flexible and not a constraint

Experience Levels

• Mid Level: 3 years of experience in Python and RDBMS applications.
• Senior Level: 6+ years of experience. Ideally, building applications at scale from scratch.
• Lead/Staff/Principal Level: 9+ years, with a history of mentoring or architecting complex systems.

Company Overview

At Fulfil, we’re redefining how high-growth merchants operate in a complex omnichannel world. Founded on the belief that business operations should be seamless and scalable, we’ve built a unified platform that transforms back-office challenges into growth opportunities—powering everything from order management to financial systems. Trusted by global brands like The Ridge, Hexclad, and Mejuri, we’re driving the future of e-commerce and wholesale at scale.

Headquartered in the USA and Canada, with a vibrant engineering hub in Bangalore, Fulfil is where ambitious problem-solvers come to push boundaries, master their craft, and collaborate on mission-critical technology that impacts millions.

Role: SDE-II/III (Python Full Stack & AI)

As an SDE-II/III (Python Full Stack & AI) at Fulfil, you’ll design and build the next-generation systems that power millions of customer orders and financial transactions for some of the world’s fastest-growing merchants. Our Python-based platform handles massive scale—think millions of transactions per hour—and your work will ensure it’s robust, scalable, and maintainable.

You’ll collaborate with a global team across the USA, Canada, and Bangalore, tackling sophisticated challenges in an environment that values clean code, innovative design, and collective problem-solving.

What You’ll Do

• Own the Full Stack: Take charge of our entire Python-based platform—from front-end integrations to back-end systems—maintaining and scaling a codebase of millions of lines that powers global commerce.
• Ship Features Fast: Drive the rapid design, development, and deployment of new features, delivering value to high-growth merchants at breakneck speed.
• Integrate AI: Build and embed AI-driven capabilities into our ERP, enhancing automation and intelligence for order management, financials, and beyond.
• Master Scale and Stability: Optimize REST and GraphQL APIs (600+ endpoints), microservices, and Kubernetes/Docker deployments to handle millions of transactions with zero downtime.
• Elevate Code Quality: Refactor legacy systems, write testable code with pytest, and collaborate on peer reviews to keep our stack robust and maintainable.
• Bridge Ecosystems: Integrate seamlessly with e-commerce platforms (Shopify, Amazon) and logistics partners (FedEx, DHL), ensuring our merchants’ operations hum.
• Solve at Scale: Tackle the real-world challenges of a B2B SaaS leader—think complex business logic, reusable components, and global infrastructure management.

What You Bring

• Experience building large-scale server-side applications and microservices with Python.
• Expertise with ORMs (e.g., SQLAlchemy, Django) and SQL databases (Postgres preferred).
• Proficiency in our stack: Python, Celery, Postgres, Redis, RabbitMQ.
• Hands-on experience with testing (pytest) and Git for version control.
• A track record of delivering scalable, maintainable code with a focus on ownership—leading projects from design to deployment.

Our Approach to AI

What We Do

• Leverage LLMs (OpenAI API, Claude API) to embed AI-driven capabilities into Fulfil’s ERP, powering natural language interfaces, intelligent automation, and merchant-facing insights (e.g., Fulfil x MCP integrations with Claude).
• Focus on applied AI for commerce operations — integrating models to solve real problems like order management, financial analysis, customer insights, and logistics optimization.

What We Don’t

• We are not a core ML/AI research company — we don’t train or fine-tune foundation models.
• We focus on integration and productization of AI, not building new ML frameworks or developing custom model architectures.

Bonus Points

• Experience scaling systems at a high-growth tech company.
• Familiarity with cloud platforms (Google Cloud, Heroku, etc.).
• Passion for optimizing distributed systems or e-commerce workflows.