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Fulfil - Senior / Lead Engineer - Python Full Stack & AI Technologies

Fulfil - Senior / Lead Engineer - Python Full Stack & AI Technologies

Fulfillment Software Private LimitedGurgaon
13 days ago
Job description

Work Location : Bengaluru / Bangalore : For Senior++ levels, compensation is flexible and not a 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 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 opportunitiespowering 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 : 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 scalethink millions of transactions per hourand 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 Youll Do :

  • Own the Full Stack : Take charge of our entire Python-based platformfrom front-end integrations to back-end systemsmaintaining 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 leaderthink complex business logic, reusable components, and global infrastructure 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 ownershipleading projects from design to 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 (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 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 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.
  • (ref : hirist.tech)

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