AI Engineer
- Posted a month ago
- Be among the first 10 applicants
Job Description
AI Solutions Engineer to design, build intelligent apps, and operationalize AI-powered search experiences and autonomous/assisted agents using Microsoft's AI ecosystem
Core Technical Skills
Core Technical Skills
- Overall 7-10 years of Full stack experience- . Net ecosystem - Must have
- 2-4 Years of experience in AI engineering
- Experience in Azure OpenAI Service, embeddings - Must have
- Azure AI Search (vector search, hybrid search, reranking)- Must have
- Azure Machine Learning -
- Retrieval Augmented Generation (RAG) pipelines with Azure OpenAI Service
- Power platform, specifically power automate - Nice to have
- Microsoft Graph API & M365 integration - Nice to have
- Foundry - Nice to have
- Designing endtoend AI search and agent systems
- Implementing ingestion pipelines, chunking, metadata enrichment
- Understanding of Azure cloud architecture (App Service, AKS, Key Vault, Monitor, DevOps)
- Performance tuning (latency, token optimization, embeddings, caching)
- Prompt Engineering
More Info
Key Skills
Azure cloud architecture
AI engineering
Azure OpenAI Service embeddings
Azure AI Search
Microsoft Graph API
Prompt Engineering
About Company
Skills:
Tensorflow, Pytorch, Api Development, Python, ETL and Data Pipelines, Model Deployment, Scikit-learn, Prompt Engineering
Skills:
Data structures, Tensorflow, Algorithms, Pytorch, Docker, Rest Apis, Python, Kubernetes, Prompt engineering, Scikit-learn, Hugging Face, Lang Chain, Lang Graph, Claude, Microservices architecture, System design principles, CI/CD pipelines, Llama Index, Llama, Gemini, Large Language Models
Skills:
Rest Apis, Microservices, Azure Databricks, Cloud Services, Kubernetes, Python, Docker, AI orchestration frameworks, Generative AI solution design, Developing agentic AI workflows, AI Engineering Generative AI, Data pipelines, Event-driven architectures, Large Language Model LLM application development, Feature engineering, Building deploying and maintaining AI-powered applications, CI CD pipelines, Software Engineering Application Development, Prompt engineering
Skills:
react.js , Typescript, Javascript, Docker, Python, Integration, Node.js, Version Control, Git, Linux, Azure, Kubernetes, Agentic AI Framework, IaC, Security, Vector Databases, LLM Basics, Azure AI Search, Multi-Agent Frameworks, RAG Pipelines, Semantic Kernel, AutoGen, CI/CD, Responsible AI
Skills:
Performance Tuning, Nlp, Ocr, Python, Azure Document Intelligence, embeddings, LLMs, machine learning pipelines, ABBYY, Google Document AI, Document AI, model validation, AWS Textract, Intelligent Document Processing