GenAI Engineer - TMD

Sequoia Connect

22h • Remote

About The Position

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 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 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 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 Career’s Page: https://www.sequoia-connect.com/careers/ . 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.

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.

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.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed