Jade Global

AIML/Agentic AI Developers

Reposted 18 Days Ago

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Hyderabad, Telangana, IND

In-Office

Expert/Leader

Artificial Intelligence • Cloud • Information Technology • Analytics • Business Intelligence • Consulting • App development

The Role

The role requires designing and delivering AI/ML solutions, cloud computing, and intelligent automation, with extensive experience in IT services and consulting.

Summary Generated by Built In

AIML/Agentic AI Developers2

8–12 years of progressive experience in solution architecture, technical architecture, or senior engineering roles within IT services or consulting organizations.
Hands-on experience designing and delivering solutions across AI/ML, cloud platforms, data engineering, and application modernization.
Prior experience at an IT services company, digital engineering firm, or consulting organization is strongly preferred.
AI & GenAI: Working knowledge of Generative AI, LLMs, Agentic AI frameworks (LangChain, LangGraph, AutoGen), RAG architectures, and vector databases.
Cloud: Solid hands-on experience with AWS, Azure, or GCP; cloud-native design patterns, Kubernetes, DevSecOps, and CI/CD pipelines.
Engineering Stack: Strong proficiency in .NET (C#, ASP.NET Core) and/or OpenSource stacks (Java, Python, Node.js); experience with both is a significant advantage.
Intelligent Automation: Experience with RPA tools, workflow automation, and AI-augmented process automation.
Enterprise Platforms: Familiarity with Oracle, SAP, Salesforce, or ServiceNow is a plus.
AI & GenAI: Working knowledge of Generative AI, LLMs, Agentic AI frameworks (LangChain, LangGraph, AutoGen), RAG architectures, and vector databases.
Cloud: Solid hands-on experience with AWS, Azure, or GCP; cloud-native design patterns, Kubernetes, DevSecOps, and CI/CD pipelines.
Engineering Stack: Strong proficiency in .NET (C#, ASP.NET Core) and/or OpenSource stacks (Java, Python, Node.js); experience with both is a significant advantage.
Intelligent Automation: Experience with RPA tools, workflow automation, and AI-augmented process automation.
Enterprise Platforms: Familiarity with Oracle, SAP, Salesforce, or ServiceNow is a plus.

Skills Required

8-12 years of experience in solution architecture or senior engineering roles
Hands-on experience with AI/ML and cloud platforms
Experience with Generative AI and LLMs
Proficiency in .NET or OpenSource stacks
Experience with RPA tools and workflow automation

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