Full Stack GenAi

Pineswift Technologies; Gurugram District; On-site; INR 3,000,000 - 6,000,000; Full time

Job summary

Pineswift Technologies is seeking 2-3 Senior Full Stack Engineers to design and build AI-powered, production-grade web applications. You will work across front-end and back-end stacks, integrating LLMs, RAG, and multimodal models to deliver scalable AI features.

Responsibilities include architecting AI solutions, building robust APIs, and automating workflows with modern MLOps practices on Azure cloud services. Strong emphasis on end-to-end delivery and governance in AI-enabled products.

Qualifications

• 6+ years of experience building and delivering production-grade full-stack applications, AI products, and cloud-native services.
• Design and develop end-to-end AI solutions using LLMs, RAG, agentic AI frameworks, and multimodal foundation models.
• Build scalable AI applications using Python, React/Next.js, TypeScript, REST APIs, microservices, and Azure cloud services.
• Architect and optimize conversational AI, Digital AI Agents (DAX), GitHub + copilots, and task automation workflows leveraging Azure OpenAI and modern AI platforms.

Responsibilities

• Design and implement end-to-end AI features for production-grade applications.
• Develop scalable front-end and back-end components using React/Next.js, Python, and microservices.
• Integrate LLMs, RAG, and multimodal capabilities into user experiences.
• Establish CI/CD pipelines and governance for AI applications using GitHub and Azure DevOps.

Skills

Python

React/Next.js

TypeScript

REST APIs

Microservices

Azure cloud services

LLMOps / MLOps

Conversational AI

Vector databases

Prompt engineering

Tools

Azure OpenAI

DALL-E

Databricks

AKS / Kubernetes

GitHub Copilot

Job description

Hi

Greetings from Pineswift!

We are looking for 2-3 Senior Full Stack Engineers with hands-on experience in GenAI lease find the detailed job description below for your reference.

Senior Full Stack Engineer (AI / GenAI / Multimodel)

• 6+ years of experience building and delivering production-grade full-stack applications, AI products, and cloud-native services.
• Design and develop end-to-end AI solutions using LLMs, RAG, agentic AI frameworks, and multimodal foundation models for text, audio, image, and video generation.
• Build scalable AI applications using Python, React/Next.js, TypeScript, REST APIs, microservices, and Azure cloud services.
• Architect and optimize conversational AI, Digital AI Agents (DAX), GitHub + copilots, and task automation workflows leveraging Azure OpenAI and modern AI platforms.
• Implement Vector Database and semantic retrieval solutions to power enterprise knowledge search, reasoning, and grounding capabilities.
• Develop and operationalize LLMOps/MLOps pipelines including model deployment, evaluation, observability, prompt management, guardrails, and continuous monitoring.
• Integrate speech-to-text, text-to-speech, audio intelligence, image generation, and video generation capabilities into AI-powered user experiences8 using LLM Models & API calls (Gemini, GPT 5 and higher, DALL-E-3.0) .
• Build and deploy scalable workloads on Azure, Databricks, AKS/Kubernetes, Azure Data Lake Gen2, and event-driven architectures.
• Establish CI/CD, automated testing, security, and governance standards for AI applications using GitHub and Azure DevOps.
• Drive adoption of AI-assisted development, coding agents, and autonomous research systems across teams.