SDE Python Full-Stack & AI (Oct 06 Start 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 Inter: 3 years of experience in Python and RDBMS applications, 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, were redefining how high-growth merchants operate in a complex omnichannel world Founded on the belief that business operations should be seamless and scalable, weve 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, were 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 (Python Full Stack & AI) As an SDE (Python Full Stack & AI) at Fulfil, youll design and build the next-generation systems that power millions of customer orders and financial transactions for some of the worlds fastest-growing merchants Our Python-based platform handles massive scale?think millions of transactions per hour?and your work will ensure its robust, scalable, and maintainable, Youll 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 Youll 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 merchantsoperations 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 3+ Years of experience building large-scale server-side applications and microservices with Python, Expertise with ORMs (eg, 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 Fulfils ERP, powering natural language interfaces, intelligent automation, and merchant-facing insights (eg, 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 Dont We are not a core ML/AI research company ? we dont 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,