AI Engineering

Description

At Sequoia Connect, we are a Talent-First Technology Ecosystem that redefines how elite professionals interact with the global digital landscape. We move beyond traditional models to act as a catalyst for the top 1% of global talent, connecting human potential with complex industrial execution. By joining our inner circle, you are not simply taking a position; you are aligning with a strategic partner dedicated to updating your "Human OS" and accelerating your growth through world-class, high-impact projects.

We are currently partnering with a global IT powerhouse that represents the connected world through innovative, customer-centric experiences. As a USD 6 billion organization and one of the top 7 IT service providers globally, our client empowers over 1,200 global customers—including several Fortune 500 companies—to "Rise™." With a massive network of 163,000+ professionals across 90 countries, they are at the absolute forefront of digital transformation, leveraging next-generation technologies such as 5G, AI, Blockchain, and Quantum Computing.

This is your chance to thrive in a workplace recognized as one of the most sustainable corporations in the world. You will join an environment that values innovation and societal impact, working on end-to-end digital transformation projects for global leaders. If you are a driven professional looking for global career opportunities and exposure to high-impact projects within an international network of expertise, this is where you belong.

We are currently searching for a Senior AI Engineer:

The Challenge (Responsibilities)

• Design and develop scalable AI-driven applications using .NET (C#) and Python.
• Build and deploy enterprise AI solutions leveraging Large Language Models (LLMs), Generative AI, and Agentic AI architectures.
• Develop intelligent agents and multi-agent workflows using modern agent orchestration frameworks.
• Design and implement Retrieval-Augmented Generation (RAG) solutions with vector databases and enterprise knowledge sources.
• Integrate AI services with enterprise applications, APIs, and data platforms.
• Build reusable AI components, services, and accelerators following engineering best practices.
• Collaborate with product owners, architects, data engineers, and business stakeholders to define AI use cases and technical solutions.
• Ensure AI solutions meet enterprise requirements for security, governance, scalability, and performance.
• Conduct code reviews, mentor junior engineers, and contribute to AI engineering standards and best practices.
• Stay current with emerging AI technologies, frameworks, and industry trends.

Your Profile (Requirements)

• 5+ years of software engineering experience.
• 2+ years of experience delivering AI/ML or Generative AI solutions in production environments.
• Demonstrated experience working on enterprise-scale AI implementations.
• Strong proficiency in .NET/C# development.
• Strong proficiency in Python for AI/ML application development.
• Hands-on experience with Microsoft Azure services and cloud-native development.
• Experience with Azure OpenAI Service, Azure AI Services, Azure Functions, API Management, and Azure storage services.
• Experience designing and implementing RAG architectures.
• Strong understanding of REST APIs, microservices, and distributed systems.
• Familiarity with vector databases and semantic search technologies.
• High-Performance Mindset: Resilience, emotional intelligence, and a focus on agile delivery.
• Technologist DNA: A deep understanding of the difference between "coding" and "engineering."

Desired

• Strong analytical and problem-solving abilities.
• Ability to translate business requirements into scalable technical solutions.
• Strong collaboration and stakeholder management skills.
• Passion for innovation and continuous learning in the AI space.
• Familiarity with cloud-native foundations or AI coding assistants.

Languages

• Advanced Oral English: For seamless collaboration with global teams.
• Advanced Spanish.

Special Notes

• N/A

Work Arrangement We value flexibility to support your lifestyle. This position is available as:

• Remote (Depending on specific project needs).

If you meet these qualifications and are pursuing new challenges, start your application on our website to join an award-winning employer. Explore all our job openings | Sequoia Career’s Page: https://www.sequoia-connect.com/careers/

Requirements

• 5+ years of software engineering experience.
• 2+ years of experience delivering AI/ML or Generative AI solutions in production environments.
• Demonstrated experience working on enterprise-scale AI implementations.
• Strong proficiency in .NET/C# development.
• Strong proficiency in Python for AI/ML application development.
• Hands-on experience with Microsoft Azure services and cloud-native development.
• Experience with Azure OpenAI Service, Azure AI Services, Azure Functions, API Management, and Azure storage services.
• Experience designing and implementing RAG architectures.
• Familiarity with vector databases and semantic search technologies.