AI Application Development

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 rapidly growing, automation-led powerhouse that serves 31 Fortune 500 companies across the financial, healthcare, and manufacturing sectors. With a global workforce of over 32,000 employees and a presence in 28 countries, our client is a titan of digital transformation. Their "Automate Everything, Cloudify Everything" strategy ensures you will be working at the absolute forefront of AI-driven automation and cloud solutions.

This is your chance to thrive in a "Customer Success, First and Always" environment that prizes continuous learning and radical ownership. You will collaborate within an international network of expertise across 39 delivery centers worldwide, gaining exposure to complex engineering challenges that redefine industrial standards. If you are a driven professional looking for a dynamic, forward-thinking workplace where your growth is the priority, this is where you belong.

We are currently searching for a AI Application Development:

Responsibilities:

• Design and develop AI-powered applications using Generative AI and machine learning models.
• Integrate Large Language Models (LLMs) such as OpenAI or Azure OpenAI into enterprise applications.
• Build AI copilots, chatbots, document intelligence solutions, and recommendation systems.
• Implement Retrieval Augmented Generation (RAG) architectures using vector databases.
• Develop pipelines for embedding generation, semantic search, and contextual retrieval.
• Optimize prompts, context handling, and response accuracy.
• Deploy AI models and services using containerization and cloud platforms.
• Implement monitoring, evaluation, and feedback loops for AI systems.
• Ensure security, scalability, and performance of AI services.

Requirements:

• Proficiency in Python development and familiarity with libraries like FastAPI, Flask, or Django.
• Proven experience with LLMs and foundation models in an enterprise context.
• Strong knowledge of RAG architectures and vector databases.
• Experience in AI Deployment (MLOps) including containerization and cloud-based services.

Desired:

• Backend Engineering in .NET Core / .NET 8+ for building scalable microservices.
• Integration of AI models into .NET backend systems.
• Implementation of asynchronous and event-driven processing for AI workloads.
• Experience building data pipelines for ingestion, preprocessing, and model inference.
• Knowledge of handling structured and unstructured data (documents, text, knowledge bases).

Languages

• Advanced Oral English.
• Advanced Spanish.

Note:

• Fully remote.

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

Requirements:

• Proficiency in Python development and familiarity with libraries like FastAPI, Flask, or Django.
• Proven experience with LLMs and foundation models in an enterprise context.
• Strong knowledge of RAG architectures and vector databases.
• Experience in AI Deployment (MLOps) including containerization and cloud-based services.
• Backend Engineering in .NET Core / .NET 8+ for building scalable microservices.
• Integration of AI models into .NET backend systems.