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We are looking for a highly skilled Generative AI Engineer with strong expertise in Python, Azure AI ecosystem, and modern LLM application development. The ideal candidate will have hands-on experience building production-grade AI solutions using Generative AI, Retrieval-Augmented Generation (RAG), Vector Databases, Agentic AI frameworks, Microsoft AI Foundry, Azure AI Services, and Microsoft Copilot technologies.
This role requires someone who has designed, developed, deployed, and optimized enterprise AI applications rather than only experimenting with proof-of-concepts.
Experience
Mandatory Skillset
:For these roles, our focus is on candidates with strong expertise in Python, Generative AI (1–2 years of hands-on experience), RAG, Vector Databases, Agentic AI, Copilot/AI tools, AI Foundry (Microsoft), and preferably LangGraph (1–2 years). Azure AI and copilot (Strongly
)Job ID: 150674081
Skills:
Nosql, Databricks, Sql, Python, RAG, Azure AI Search
Skills:
runway , Gcp, Azure, Python, AWS, LangChain, Veo, Speech TTS systems, CrewAI, vector search, LLMs, retrieval-augmented generation, Sora, diffusion-based audio models, GPT, Semantic Kernel, LangGraph, LoRA, Google ADK, Midjourney, Pika Labs, Runway ML, Stable Diffusion
Skills:
Azure Functions, Azure DevOps, LangChain, Entra ID, Prompt Flow, GPT-4o, ADLS Gen2, Azure Key Vault, Azure Blob Storage, AKS, Azure OpenAI, GPT-4o-mini, Azure Container Apps, Semantic Kernel, LangGraph, GitHub Actions, Azure AI Studio, Azure AI Search, Application Insights, Azure Monitor
Skills:
Python, LangChain, AI Agents, Vector databases, LangFlow, AI memory frameworks, Agentic AI systems, Generative AI architectures, LangGraph, semantic search, Tool calling frameworks, Embedding models, MCP Server implementation, Function calling, Memory sharing architectures, RAG pipelines, Multi-agent orchestration
Skills:
Apis, Docker, Version Control, Logging, Azure, Python, AWS, LLM APIs, Monitoring, CI CD
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