Largeton Group is seeking an AI Developer to design, build, and deploy modern AI-enabled solutions that leverage enterprise data across cloud and hybrid environments.

About the Position

Introduction

Largeton Group is seeking an AI Developer to design, build, and deploy modern AI-enabled solutions that leverage enterprise data across cloud and hybrid environments. This role focuses on developing scalable AI applications, including retrieval-augmented generation (RAG), intelligent data pipelines, vector-based search, and cloud-native ML/AI systems. The ideal candidate will possess a blend of AI engineering, data engineering, and platform expertise, with a strong background in building production-grade solutions using modern cloud, integration, and governance tools. A strong healthcare domain experience is required.

Responsibilities

Design and develop AI-powered applications using modern ML/AI engineering practices, including RAG architectures, vector search, and feature management.
Build and maintain scalable data pipelines to support AI and analytics workloads, including ETL/ELT, streaming, and lakehouse patterns.
Develop and integrate solutions across cloud, hybrid, and legacy enterprise systems, including ERP, mainframe, and CDC-based ecosystems.
Implement and manage vector databases, orchestration frameworks, and feature stores to support production AI use cases.
Partner with platform and infrastructure teams to deploy solutions using containerization, Kubernetes, and infrastructure as code.
Ensure strong data governance, including lineage, cataloging, and access controls for enterprise AI data assets.
Optimize architecture for performance, scalability, and cloud cost efficiency, especially for variable AI workloads.
Collaborate with business, engineering, and architecture stakeholders to translate requirements into practical AI solutions.
Deploy solutions in cloud and containerized environments using tools like Docker, Kubernetes, and Terraform.

Requirements

3+ years of experience in software engineering, data engineering, or AI/ML development.
Hands-on experience building AI or data-driven applications in enterprise environments.
Strong proficiency in one or more programming languages such as Python, SQL, or Java.
Strong healthcare domain experience.