AI Implementation Engineer

Job Summary: Wissen Technology is hiring an AI Implementation Engineer to build, deploy, and scale enterprise-grade Generative AI solutions across business-critical applications. The role involves developing production-ready AI systems using Azure AI services, Large Language Models (LLMs), RAG architectures, and agent-based frameworks while collaborating closely with engineering teams to drive AI adoption and innovation. Experience 6-12 years Location Mumbai / Bangalore Mode of Work Hybrid Mandatory Skills (Must Have) • Python programming (6+ years) including asynchronous programming and backend application development • Java and Spring Framework (3+ years) for enterprise-scale application integration • Azure OpenAI Service, Azure AI Foundry, and Azure AI Search for production GenAI applications • Retrieval Augmented Generation (RAG) architecture including embeddings, chunking, vector databases, reranking, and grounding techniques • Agent Frameworks such as Microsoft Agent Framework, Semantic Kernel, AutoGen, LangChain, or LangGraph • Snowflake and Cortex AI (Cortex Search, LLM Functions) with strong SQL expertise • Prompt Engineering, LLM evaluation frameworks, testing, and model performance optimization • DevOps and Cloud Deployment using Azure DevOps, GitHub Actions, Docker, AKS, Azure Functions, and observability tools Optional Skills (Good to Have) • React.js for AI-powered user interfaces and conversational applications • Azure AI Content Safety and Responsible AI implementation experience • Financial Services, Banking, or other regulated industry domain experience • Real-time streaming applications and token-level LLM operations • Performance optimization, caching strategies, and cost optimization for AI workloads • Microsoft Azure AI Engineer Associate Certification