Generative AI Engineer - Fullstack

Job Title: GenAI Engineer – Full Stack

Experience:

4–12 Years Location: Bengaluru Notice Period: Immediate Joiners Only Employment Type: Full-Time

About the Role

We are looking for a hands-on Generative AI Engineer with strong Full Stack development

experience

to design, develop, and deploy production-grade AI applications. The ideal candidate should have expertise in LLMs, RAG, AI Agents, Python, APIs, modern frontend frameworks, databases, and cloud technologies. The role requires an engineer who can take complete ownership of AI applications—from solution design and backend development to frontend integration, deployment, and production support.

Key Responsibilities

Design, develop, and deploy end-to-end Generative AI applications for enterprise use cases. Build and optimize Retrieval-Augmented Generation (RAG) pipelines. Develop LLM workflows, AI Agents, and multi-agent solutions. Integrate LLMs such as OpenAI/Azure OpenAI, Claude, Gemini, or open-source models into enterprise applications. Implement prompt engineering, function/tool calling, structured outputs, and LLM evaluation techniques. Develop scalable backend services and REST APIs using Python, FastAPI, or Flask. Build responsive frontend applications using React.js, Next.js, Angular, or similar frameworks. Integrate GenAI solutions with enterprise applications, APIs, databases, and third-party platforms. Work with Vector Databases such as Pinecone, FAISS, Chroma, Weaviate, or Azure AI Search. Implement document ingestion, chunking, embedding, retrieval, reranking, and response-generation pipelines. Deploy and manage AI applications on Azure, AWS, or GCP. Implement authentication, security, logging, monitoring, and performance optimization. Work closely with Product, Data, AI, and business teams to translate

requirements

into production-ready solutions. Troubleshoot production issues and continuously improve AI application quality, latency, accuracy, and scalability. Must-Have

Skills

4–12 years of overall software engineering

experience

with hands-on GenAI development experience. Strong programming

skills

in Python. Hands-on

experience

with Generative AI, LLMs, RAG, Prompt Engineering, and AI Agents.

Experience

with frameworks such as LangChain, LangGraph, LlamaIndex, Semantic Kernel, or equivalent. Strong backend development

experience

with FastAPI/Flask and REST APIs. Full Stack development

experience

using React.js / Next.js / Angular and JavaScript/TypeScript.

Experience

with SQL and NoSQL databases. Hands-on knowledge of Vector Databases and Embeddings.

Experience

with at least one major cloud platform: Azure, AWS, or GCP. Knowledge of Git, Docker, CI/CD, and microservices architecture. Strong debugging, analytical, and problem-solving skills. Good to Have

Experience

with Azure OpenAI, AWS Bedrock, or Google Vertex AI. Knowledge of MLOps/LLMOps, model evaluation, monitoring, and guardrails.

Experience

developing enterprise-grade AI Agents and Agentic AI workflows. Exposure to Kubernetes and container orchestration. Understanding of AI security, responsible AI, data privacy, and governance.

Experience

delivering GenAI applications from POC to production.

Requirements

Ideal Candidate We are looking for a hands-on GenAI Engineer who is also a strong Full Stack Developer and can independently build an AI solution from the backend and LLM layer through to the user interface and production deployment. Key

Skills:

GenAI | LLM | RAG | Agentic AI | AI Agents | Python | FastAPI | LangChain | LangGraph | React.js | Next.js | JavaScript/TypeScript | Vector Database | Azure/AWS/GCP | Docker | CI/CD

into production-ready solutions. Troubleshoot production issues and continuously improve AI application quality, latency, accuracy, and scalability. Must-Have

Skills

4–12 years of overall software engineering

experience

with hands-on GenAI development experience. Strong programming

skills

in Python. Hands-on

experience

with Generative AI, LLMs, RAG, Prompt Engineering, and AI Agents.

Experience

with frameworks such as LangChain, LangGraph, LlamaIndex, Semantic Kernel, or equivalent. Strong backend development

experience

with FastAPI/Flask and REST APIs. Full Stack development

experience

using React.js / Next.js / Angular and JavaScript/TypeScript.

Experience

with SQL and NoSQL databases. Hands-on knowledge of Vector Databases and Embeddings.

Experience

with at least one major cloud platform: Azure, AWS, or GCP. Knowledge of Git, Docker, CI/CD, and microservices architecture. Strong debugging, analytical, and problem-solving skills. Good to Have

Experience

with Azure OpenAI, AWS Bedrock, or Google Vertex AI. Knowledge of MLOps/LLMOps, model evaluation, monitoring, and guardrails.

Experience

developing enterprise-grade AI Agents and Agentic AI workflows. Exposure to Kubernetes and container orchestration. Understanding of AI security, responsible AI, data privacy, and governance.

Experience

delivering GenAI applications from POC to production.

Requirements

Ideal Candidate We are looking for a hands-on GenAI Engineer who is also a strong Full Stack Developer and can independently build an AI solution from the backend and LLM layer through to the user interface and production deployment. Key

Skills