Senior/Lead - 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 Senior: 6+ years of experience. Ideally, building applications at scale from scratch. Lead/Principal: 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: Senior/Lead SDE (Python Full Stack & AI) As a Senior/Lead SDE (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.