GEN AI Engineer- Pune

Prodapt Solutions; Pune District; Presencial; INR 1.800.000 - 3.000.000; Jornada completa

Descripción de la vacante

Prodapt Solutions in Pune is seeking a versatile engineer to design and implement complex features spanning frontend, backend, and AI workflow layers. The role focuses on building robust services and interactive interfaces, with emphasis on scalable architecture and secure deployment.

You will independently develop backend APIs using Python and FastAPI, craft frontend interfaces with React and Next.js/Remix, and implement real‑time streaming via SSE along with LLM‑integrated solutions and RAG

Formación

• Proven backend development with Python and FastAPI.
• Strong frontend experience with React and Next.js/Remix.
• Experience wiring AI workflows, LLM apps, and data pipelines.
• Familiarity with CI/CD and deployment automation.

Responsabilidades

• Design and implement application features across frontend, backend, and AI layers.
• Independently develop backend services and APIs using Python and FastAPI.
• Build frontends with React, Next.js/Remix, and Tailwind CSS, ensuring quality UX.

Conocimientos

Backend development

Frontend development

AI workflow design

Mentoring juniors

Herramientas

Python

FastAPI

React

Next.js/Remix

Tailwind CSS

Server-Sent Events

LLM integration

RAG pipelines

CI/CD

Descripción del empleo

Role & responsibilities:

• Design and implement complex application features across frontend, backend, and AI workflow layers
• Independently develop and maintain backend services and APIs using Python and FastAPI
• Build frontend interfaces and interaction layers using React, Next.js/Remix, and Tailwind CSS
• Implement real-time streaming workflows using Server-Sent Events (SSE) or similar technologies
• Design and implement LLM-integrated applications, including business workflow automation and knowledge retrieval systems
• Build and optimize Retrieval-Augmented Generation (RAG) pipelines, including advanced retrieval strategies, hybrid search, and re-ranking techniques
• Develop and maintain evaluation loops to measure AI output quality, retrieval effectiveness, and guardrail compliance
• Design and implement guardrails and control mechanisms to improve safety, reliability, and output consistency
• Contribute to architecture decisions related to service decomposition, integration patterns, and scalability
• Build and optimize data pipelines, data transformation workflows, and data quality validation mechanisms
• Implement and optimize CI/CD pipelines, deployment automation, and infrastructure provisioning workflows
• Ensure systems meet security requirements, including authentication, authorization, and access control enforcement
• Implement observability standards including logging, monitoring, tracing, and alerting
• Review code, mentor junior engineers, and enforce engineering quality standards
• Translate business and product requirements into technical specifications and implementation plans
• Troubleshoot complex issues across application, AI, and infrastructure layers.