Job Description

Our client represents the connected world, offering innovative and customer-centric information technology experiences, enabling Enterprises, Associates, and Society to Rise™.

They are a USD 6 billion company with 163,000+ professionals across 90 countries, helping 1279 global customers, including Fortune 500 companies. They focus on leveraging next-generation technologies, including 5G, Blockchain, Metaverse, Quantum Computing, Cybersecurity, Artificial Intelligence, and more, on enabling end-to-end digital transformation for global customers.

Our client is one of the fastest-growing brands and among the top 7 IT service providers globally. Our client has consistently emerged as a leader in sustainability and is recognized amongst the ‘2021 Global 100 Most sustainable corporations in the World by Corporate Knights.

We are currently searching for a GenAI Engineer :

Responsibilities

• Agentic Framework Implementation: Design and deploy AI agents using Microsoft Semantic Kernel or AutoGen (Microsoft agentic frameworks) for complex task automation.
• Orchestration & Reasoning: Implement advanced RAG patterns with context management and retrieval-augmented reasoning to improve LLM accuracy.
• Cloud-Native Fullstack Development: Build end-to-end solutions using Python (Backend/AI) and React.js (Frontend) integrated with Azure Functions.
• Secure AI Infrastructure: Secure AI workloads using Managed Identities, Key Vault, and RBAC to ensure enterprise-grade compliance.
• Serverless Scaling: Architect high-throughput data pipelines and serverless solutions that scale across multiple regions.
• Guardrails & Monitoring: Implement prompt engineering safety, response guardrails, and comprehensive monitoring for LLM performance and costs.

Requirements

• Experience developing and deploying Generative AI or Agentic solutions, leveraging Azure OpenAI Service, Cognitive Search, Azure AI Studio, Azure functions, durable functions, logic apps or LangChain-like frameworks., Microsoft agentic framework.
• Implement agent orchestration with history, context management, retrieval -augmented reasoning
• Solid knowledge of security, identity, and compliance in Azure (Managed Identities, Key Vault, Private Endpoints).
• Proficiency with Python, React.js in cloud-native solution development – Full stack
• Experience with multi-region deployments, serverless scaling, and high-throughput data pipelines.
• Develop solutions with monitoring, and scaling strategies across hybrid and multi-tenant setups
• Hands on with RBAC, prompt and response guardrails
• Excellent communication, solution documentation, and stakeholder engagement skills.

Must

• deployed at least one production-grade solution using LLMs (Azure OpenAI preferred).
• Deep understanding of agent orchestration (not just simple chatbots).
• Strong hands-on experience with both Python and React.js.
• Practical experience with Azure networking security (Private Endpoints) is non-negotiable for enterprise AI.

Languages

• Advanced Oral English.
• Native Spanish.

Note:

• Fully remote

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Requirements

• Experience developing and deploying Generative AI or Agentic solutions, leveraging Azure OpenAI Service, Cognitive Search, Azure AI Studio, Azure functions, durable functions, logic apps or LangChain-like frameworks., Microsoft agentic framework.
• Implement agent orchestration with history, context management, retrieval -augmented reasoning
• Solid knowledge of security, identity, and compliance in Azure (Managed Identities, Key Vault, Private Endpoints).
• Proficiency with Python, React.js in cloud-native solution development – Full stack
• Experience with multi-region deployments, serverless scaling, and high-throughput data pipelines.
• Develop solutions with monitoring, and scaling strategies across hybrid and multi-tenant setups
• Hands on with RBAC, prompt and response guardrails
• Excellent communication, solution documentation, and stakeholder engagement skills.