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

Fulfillment Software Private Limited
Multiple Locations
9 - 12 Years

Posted on: 15/09/2025

Job Description

Work Location : Bengaluru/Bangalore (Hybrid)

Experience/skills : 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 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 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 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 problem-solving.


What 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 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 ownershipleading 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 (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 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.


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