AI Engineer
INR 1200K-2500K (estimate) Mid-level Full Time
Tasks
- Build and optimize vector databases and semantic search
- Build generative AI applications
- Collaborate with architects and data scientists to define AI roadmaps
- Create data pipelines for training and inference
- Define AI governance security and compliance standards
- Design and develop scalable APIs and microservices
- Design and implement Microsoft Copilot solutions
- Develop intelligent workflows for business automation
- Establish MLOps practices for model deployment and monitoring
- Implement document processing with Azure AI Document Intelligence
- Integrate AI capabilities with Microsoft 365 and Power Platform
- Lead development of enterprise AI solutions
- Lead proof of concept projects to evaluate AI technologies
- Mentor engineers and conduct code reviews
Perks/Benefits
- N/A
Skills/Tech-stack
AI Document Intelligence | AI Search | AI Studio | Agent systems | Agentic AI | Azure AI | Azure AI Document Intelligence | Azure AI Search | Azure AI Studio | Azure Agentic AI | Azure Cognitive | Azure Cognitive Search | Azure Cognitive Services | Azure DevOps | Azure Machine Learning | Azure OpenAI | Azure OpenAI Service | C# | Cognitive Search | Cognitive Services | Copilot Studio | Cosmos DB | Document Intelligence | Driven systems | Embeddings | Event Driven | Event Driven Systems | Fine Tuning | Hybrid search | LLM architectures | Machine Learning | Microservices | Microsoft Copilot | Multi-Agent | Multi-Agent Systems | OpenAI Service | Pinecone | Prompt engineering | Python | RAG | REST APIs | Semantic Kernel | Vector Databases | Vector Search | Weaviate
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
AI | AI Engineer | Engineer
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