Full Stack Engineer

Hi, We have multiple requirements for the below role based out of Kolkata, If interested please send in your updated profile mentioning your Current CTC, Expected CTC, Notice period to [Confidential Information]

Work location: Kolkata

Experience: 3 to 6 years (5 positions), 6 to 10 years (2 positions)

About the Role

Build end-to-end AI-powered applications across front-end, back-end, APIs, and Google Cloud-native services for enterprise use cases. Develop secure, scalable solutions integrating Gemini models, Vertex AI, RAG pipelines, agentic workflows, and enterprise data for production deployment. Design deliver AI agent-based solutions tailored for Retail Consumer Packaged Goods CPG business scenarios.

Responsibilities

• Develop full-stack applications using modern UI frameworks, backend APIs, and Python-based AI services.
• Build and integrate AI agents and sub-agents using Google ADK, Gemini, Vertex AI, enterprise knowledge sources.
• Develop operationalize RAG pipelines, embeddings, vector search, multi-agent workflows for business apps.
• Build secure, performant, cloud-native solutions on Google Cloud Platform GCP with CICD, containers, observability, and access controls.
• Collaborate with architects, platform data teams, and business stakeholders to deliver production-ready AI solutions aligned to Retail CPG use cases.

Qualifications

• BE/BTech/ME/MTech in CS/IT or related discipline.
• Relevant Google Cloud AI/Kubernetes certifications are a plus.

Required Skills

• Front-end: React, Angular, Next.js;
• Back-end: Python, FastAPI, Flask, Django and/or Node.js.
• Experience in REST APIs, microservices, SQL/NoSQL databases, and cloud-native application development.
• Hands-on experience with LLMs, prompt engineering, embeddings, vector search, RAG pipelines, and agent-based application development.
• Exposure to Google ADK or similar agent orchestration frameworks for building AI agents and multi-agent workflows.
• Good understanding of APIs, microservices, SQL/NoSQL, security, and scalable application design.

Preferred Skills

• Experience with GCP, especially Vertex AI, Gemini, Cloud Run, GKE, BigQuery, and API integrations.
• Experience of working on Retail CPG domain use cases is preferred.
• Familiarity with GenAI evaluation, monitoring, and guardrails.
• Exposure to enterprise integrations such as SAP, ServiceNow, SharePoint, CRM, or supply chain platforms.

Pay range and compensation package

Current CTC, Expected CTC and Notice period to be mentioned in the application.

Equal Opportunity Statement

We are committed to diversity and inclusivity.