We're Hiring : AI Specialist / AI Lead Engineer
Locations :
- Bangalore – Kalyani Neptune, Bannerghatta
- Mumbai – Andheri East
- Experience : 7–12 Years
- Work Mode : Hybrid (Work From Office as per project needs)
About the Role
We are looking for a highly skilled AI Specialist / AI Lead Engineer to design and deliver a next-generation Guided Buying Chatbot built entirely on the Microsoft Azure ecosystem .
The solution will leverage Azure OpenAI, Azure Foundry, Azure Cognitive Search , and modern agentic AI frameworks to build an enterprise-grade, secure, intelligent buying assistant.
Key Responsibilities & Required Expertise
🔹 RAG & Knowledge Retrieval
Hands-on experience with Retrieval-Augmented Generation (RAG)Expertise with Azure Cognitive Search , Cosmos DB, embedding generation, chunking, semantic ranking & indexing.🔹 Agentic AI with Semantic Kernel
Strong experience in task planning, tool / function calling, memory management , and autonomous reasoning flows.🔹 Multi-Turn Conversational AI
Experience building conversational agents using Azure OpenAI GPT-4 / 4o (inference-only mode).Secure prompt design and session handling.🔹 Prompt Engineering
Skilled in system prompts, dynamic templates, user intent extraction & guardrail strategies.🔹 Azure AI & ML Ecosystem
Familiarity with Azure AI Studio , Prompt Flow, and Azure ML for deployment, testing, and monitoring.🔹 Embedding Models
Knowledge of Azure-native embedding models :text-embedding-ada-002, Foundry embeddings, etc.🔹 Enterprise-Grade Security & Compliance
Experience building AI systems aligned with SOC 2, GDPR, RBAC .Strict adherence to no customer data use for training or fine-tuning.🔹 Engineering & Integration
Strong Python skills with Azure SDKs, REST APIs, Semantic Kernel.Experience integrating AI into React JS apps and OutSystems low-code environments.🔹 Collaboration
Work closely with architects, PMs, and UX teams to map procurement workflows into intelligent assistant behavior.Mandatory Skills
Azure AI Studio / FoundryAzure OpenAI (GPT-4 / 4o)Prompt FlowRAG using Azure Cognitive SearchAzure-native embedding modelsKnowledge architecture design & training pipeline managementStrong understanding of AI security & data privacyInterested candidates kindly share your resumes on shikha@digifocal.in