Product Engineer (Python + AI + eCommerce)

Wishtree Technologies

5 years

6 - 10 Lacs

ahmedabad

Posted:1 day ago| Platform: GlassDoor logo

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Skills Required

python ai design stack django fastapi flask development payments management openai azure data analytics automation research containerization docker kubernetes monitoring react angular vue coding testing devops aws gcp ml integration sql nosql api github gitlab adaptability tuning saas security compliance

Work Mode

On-site

Job Type

Part Time

Job Description

Key Responsibilities

Design, build, and scale full-stack applications with a strong emphasis on backend services (Python, Django/FastAPI/Flask).
Lead development of eCommerce features including product catalogs, payments, order management, and personalized customer experiences.
Integrate and operationalize AI services across Grok, OpenAI APIs, and Azure AI services to deliver intelligent workflows and user experiences.
Build and maintain secure, scalable APIs and data pipelines for real-time analytics and automation.
Collaborate with product, design, and AI research teams to bring experimental features into production.
Ensure systems are cloud-ready (Azure preferred) with CI/CD, containerization (Docker/Kubernetes), and strong monitoring practices.
Contribute to frontend development (React, Angular, or Vue) to deliver seamless, responsive, and intuitive user experiences.
Champion best practices in coding, testing, DevOps, and Responsible AI integration.

Required Skills & Experience

5+ years of professional full-stack development experience.
Proven track record in eCommerce product development (payments, cart, checkout, multi-tenant stores).
Strong backend expertise in Python (Django, FastAPI, Flask).
Experience with cloud services (Azure preferred; AWS/GCP is a plus).
Hands-on with AI/ML integration using APIs like OpenAI, Grok, Azure Cognitive Services.
Solid understanding of databases (SQL & NoSQL), caching, and API design.
Familiarity with frontend frameworks such as React, Angular, or Vue.
Experience with DevOps practices: GitHub/GitLab, CI/CD, Docker, Kubernetes.
Strong problem-solving skills, adaptability, and a product-first mindset. Nice to Have
Knowledge of vector databases, RAG pipelines, and LLM fine-tuning.
Experience in scalable SaaS architectures and subscription platforms.
Familiarity with C2PA, identity security, or compliance-driven development.

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