Generative AI Engineer - Fullstack

Evnek; Bengaluru; On-site; INR 3,000,000 - 5,500,000; Full time

Job summary

Evnek is seeking a hands-on GenAI Engineer with full stack capabilities in Bengaluru. You will own AI applications from backend to frontend, building scalable GenAI systems, integrating LLMs, and deploying on cloud platforms.

The role demands strong Python, FastAPI/Flask, and modern frontend skills, plus experience with RAG pipelines and enterprise integrations. Immediate joiners only apply.

Qualifications

• 4-12 years of software engineering with GenAI development
• Strong Python programming
• Hands-on with Generative AI, LLMs, RAG, prompts and AI Agents
• Experience with LangChain/LangGraph/LlamaIndex or equivalents
• Backend development with FastAPI/Flask and REST APIs
• Full stack experience with React.js/Next.js/Angular and JavaScript/TypeScript
• SQL and NoSQL databases
• Vector databases and embeddings knowledge
• Experience on Azure/AWS/GCP cloud platforms
• Git, Docker, CI/CD and microservices architecture
• Strong debugging and analytical skills

Responsibilities

• Design, develop, and deploy end-to-end GenAI applications for enterprise use cases
• Build and optimize Retrieval‑Augmented Generation pipelines
• Develop LLM workflows and AI Agents
• Integrate LLMs (OpenAI/Azure OpenAI, Claude, Gemini, etc.) into enterprise apps
• Implement prompt engineering, function/tool calling, and structured outputs
• Develop scalable backend services and REST APIs with Python frameworks
• Build responsive frontend apps using React/Next/Angular
• Integrate GenAI with enterprise apps, databases and third‑party platforms
• Work with vector databases like Pinecone/FAISS/Chroma/Weaviate
• Deploy AI apps on Azure/AWS/GCP and ensure security/logging/monitoring

Skills

GenAI development

Python

LLMs & RAG

FastAPI/Flask

React/Next.js

Cloud platforms

Docker

Debugging & problem solving

Tools

LangChain

LangGraph

LlamaIndex

Semantic Kernel

Job description

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