Gen AI Engineer

Role: Gen AI Engineer

Experience: 8+ Years

Preferred Skills: RAG, Langchain, Agentic AI, AWS, Agent Core

Location: Noida (Hybrid)

Role & responsibilities:

• Design and develop enterprise Generative AI solutions using Amazon Bedrock, Azure OpenAI Service, Azure AI Foundry, Grog, or AI Search Index platforms.
• Define AI solution architectures and implementation approaches aligned with business and technical objectives.
• Define technical solution architectures, design patterns, and deployment strategies aligned with business goals, reliability standards, and enterprise security policies.
• Design autonomous multi-agent systems, tool-calling pipelines, dynamic routing mechanisms, and complex multi-step reasoning frameworks.
• Implement optimized Retrieval-Augmented Generation (RAG) pipelines, semantic search, vector databases, and indexing models for fast and accurate information retrieval.
• Build enterprise-ready CI/CD pipelines and integrate AI components seamlessly with cloud-native applications and existing IT ecosystems.
  

Requirements

• 8-10 years of overall Experience.
• Strong Hands-on experience with Advanced GenAI & Agentic AI
  Deep practical knowledge of LangChain or custom agentic framework design.
• Hands on experience with Retrieval-Augmented Generation (RAG)
• Hands-on expertise with Amazon Bedrock, Azure OpenAI Service, Azure AI Foundry, Groq, and custom AI Search indexes.
• Strong domain knowledge in Retrieval-Augmented Generation (RAG), embeddings, vector databases (e.g., Pinecone, Qdrant, OpenSearch), prompt engineering, and function calling / tool integration.
• Proficiency in cloud-native application deployment (AWS / Azure), RESTful APIs, microservices architecture, and enterprise application integration patterns.