GenAI Engineer TMD

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 163000 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 Job Position:

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 (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 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 .
• Practical experience with Azure networking security (Private Endpoints) is non-negotiable for enterprise AI.

Languages

• Advanced Oral English.
• Native Spanish.

Note:

• Fully remote

If you meet these qualifications and are pursuing new challenges Start your application to join an award-winning employer. Explore all our job openings Sequoia Careers Page:
Agentic OR Semantic Kernel OR AutoGen OR LangChain

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 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.