Easyship

AI Backend Engineer

Location: Onsite | Bangalore

Easyship is revolutionizing logistics for eCommerce. With our all-in-one cloud based shipping software, businesses of all shapes and sizes have the tools needed to scale globally. At Easyship we believe in accelerating borderless commerce. We’re proud that a diversity of small business owners, crowdfunding campaigns, and global brands trust Easyship as their gateway to the world. To learn more about us click here.

Job Title: AI Backend Engineer

Reports to: Engineering Manager

Location: Bangalore, India. Full Time - Office

Key Relationships: Marketing, Support, Engineering, Product.

Work Hours: European Time Zone.

Job Purpose:

To build backend services that integrate LLMs, task-based AI agents, and smart workflows that assist in decision-making across our logistics platform.We are looking for a Python Developer with 6+ years of experience and a strong interest or background in AI agents and autonomous systems.

What you’ll do:

• Develop and maintain scalable backend systems using Python, integrating AI agent workflows
• You'll collaborate with engineers, data scientists, and product teams to push the boundaries of automation and user experience in eCommerce logistics.
• Build and fine-tune LLM-powered agents using frameworks like LangChain, Haystack, or Semantic Kernel
• Create APIs and backend services that interface with AI agents, recommendation engines, and user-facing components
• Collaborate on prompt engineering and fine-tuning tasks for LLMs (e.g., GPT, Claude, or open-source models)
• Optimize performance, reliability, and observability of AI-driven services
• Work cross-functionally with data and product teams to translate ideas into intelligent agent behavior
• Ensure code quality and participate in peer reviews and agile ceremonies

Who you are?:

• 6+ years of backend development experience in Python
• At least 2+ years of experience in building LLM based AI solutions
• Familiarity with Autonomous AI Agents, RAG (Retrieval-Augmented Generation), and vector databases (e.g., Pinecone, Weaviate)
• Strong understanding of Python frameworks (e.g., FastAPI, Django)
• Experience working with LLMs (OpenAI, Anthropic, Cohere, etc.) and integrating them into applications
• Familiarity with LangChain, LlamaIndex, or similar agent-oriented libraries
• Solid experience building and consuming RESTful APIs
• Experience with databases (SQL or NoSQL), Docker, and Git workflows
• Ability to design scalable and modular systems for AI-driven applications
• Excellent debugging and problem-solving skills
• Strong communication skills and a collaborative mindset

Nice to Have:

• Exposure to cloud platforms (AWS/GCP) and tools like Kafka, Redis, or Celery
• Experience with CI/CD, unit testing, and MLOps best practices
• Knowledge of logistics, eCommerce, or supply chain automation

What you’ll get:

• Competitive Equity Package: Earn more than just a competitive salary. Receive equity shares to gain wealth as the company grows.
• Gym & Wellness Reimbursement: Training for a big race? Don’t sweat it. We offer gym reimbursement for all employees.
• Generous Vacation Policy: We think time off is essential… and we encourage it!
• Duvet Day: Perfect for those cold winter days, when you don’t want to escape the warmth of your bed!
• Mental Health Day: You deserve a day off! A chance to recharge and enjoy ‘Me Time’
• 4 weeks of ‘Work from Anywhere’: Whether you’re working from the beautiful beaches in the Bahamas or by the fireplace on your ski trip in Switzerland - just make sure to send us a picture!
• Professional Development: We’re here to help you hit your career goals to help get you where you want to be.
• Unlimited Coffee, Drinks & Healthy Snacks: Because we love spoiling our team!
• Flexible Working: We offer you an autonomous environment to perform at your highest level!

Headquartered in London with offices in New York, Hong Kong, Singapore, Melbourne, Toronto, Bangalore and Taipei – our team is global and growing. We encourage you to apply if a challenge excites you. Come and join the Easyship team!