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Full Stack AI Engineer, Python

🕒 September 24

🇮🇳 India – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🔙 Backend Engineer

Where this job comes from

Posted on Eton Technologies's careers page, not through a job board

First seen by Remote Rocketship September 24

Still open on Eton Technologies's site. Checked 10 hours ago.

Logo of Eton Technologies

Eton Technologies

51 - 200 employees

Founded 2016

💼 Consulting

📦 Logistics

🤖 Artificial Intelligence

Consulting • Logistics • Artificial Intelligence

Eton Technologies is a B2B IT services and consulting firm that provides enterprise-focused digital transformation, managed services, offshore team solutions, and application development. As an Oracle Partner with expertise in Oracle Cloud and EBS and experience with Microsoft Azure, Dynamics 365 F&O, and Power Platform, Eton handles ERP, cloud development, BI & analytics, procurement transformation (source-to-pay), restaurant POS and hardware support, and AI/ML solutions. The company emphasizes offshore talent with onshore commitment, helpdesk and support services, and turnkey offshore team management for clients across multiple industries.

📋 Description

• Design, develop, and maintain scalable full-stack web applications • Build responsive and user-friendly front-end applications using ReactJS • Develop robust backend services and REST APIs using Python and FastAPI • Design and optimize PostgreSQL databases, schemas, and queries • Integrate LLMs, RAG pipelines, AI agents, and other AI-powered features into applications • Develop and integrate third-party and internal APIs • Deploy and manage applications in cloud environments • Implement scalable, secure, and reliable application architectures • Collaborate with cross-functional teams to understand requirements and deliver solutions • Follow best practices for testing, code quality, security, and CI/CD

🎯 Requirements

• 4+ years of experience • Hands-on experience with ReactJS • Hands-on experience with Python/FastAPI • Hands-on experience with PostgreSQL • Experience with APIs • Experience with cloud deployments • Experience with modern AI/LLM technologies • Knowledge of LLMs, RAG pipelines, and AI agents • Understanding of scalable, secure, and reliable application architectures • Familiarity with testing, code quality, security, and CI/CD best practices

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