GenAI Engineer - TMD

Reposted One Month Ago
Be an Early Applicant
Hiring Remotely in México
Remote
Mid level
Information Technology • Consulting
The Role
The GenAI Engineer will design and deploy AI agents, implement advanced reasoning patterns, develop cloud-native solutions using Python and React.js, and ensure secure AI infrastructure while engaging stakeholders and documenting solutions.
Summary Generated by Built In
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

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/.

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.

Skills Required

  • Experience developing and deploying Generative AI or Agentic solutions
  • Solid knowledge of security, identity, and compliance in Azure
  • Proficiency with Python and React.js in cloud-native solution development
  • Experience with multi-region deployments and high-throughput data pipelines
  • Hands on with RBAC, prompt and response guardrails
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The Company
HQ: Austin, TX
30 Employees
Year Founded: 2017

What We Do

From Technologist to Technologist. We are the catalysts of digital evolution. Our core expertise lies in connecting Top Technologists with Top Companies through unparalleled IT headhunting solutions. Our international expertise helps businesses of all sizes innovate and succeed. Our clients are global companies with over 100k employees serving 700+ clients in 50+ countries. Rooted in a profound grasp of technology, our premier IT Headhunting Services drive transformative growth for Fortune 500 corporations. We maintain the highest standards of technological innovation to meet global demands.

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