Apogee Global RMS is looking for a Senior AI Engineer who will lead the design, development, and deployment of advanced GenAI and LLM‑powered solutions across cloud platforms. This role requires deep expertise in modern AI architectures, hands‑on experience with large‑scale model development, and the ability to build secure, scalable, cloud‑native systems. Qualified professional will collaborate closely with engineering, data, and product teams to deliver high‑impact AI capabilities that accelerate innovation across the organization.Key Responsibilities:Architect and implement GenAI and LLM‑based systems, including fine‑tuning, evaluation, and optimizationBuild scalable pipelines for data processing, model training, inference, and continuous improvementDeploy and manage AI workloads across AWS, Azure, or GCP using cloud‑native servicesIntegrate embeddings, vector search, and RAG pipelines into production environmentsOptimize GPU/accelerator utilization for distributed training and high‑performance inferenceDevelop automation for CI/CD, MLOps, observability, and model lifecycle managementEnsure cloud security, compliance, and cost‑efficient resource allocationEvaluate emerging AI frameworks, tools, and cloud services to drive innovationPartner with cross‑functional teams to translate business needs into technical solutionsRequirements5–8+ years of experience in AI/ML engineering or cloud‑based AI developmentStrong proficiency with Python and AI/ML frameworks (PyTorch, TensorFlow, JAX)Hands‑on experience with LLMs, transformers, embeddings, and fine‑tuning techniquesExpertise with cloud platforms (AWS, Azure, or GCP) and services supporting AI workloadsExperience with vector databases (Pinecone, Weaviate, FAISS) and RAG architecturesStrong understanding of MLOps, CI/CD, containers, and orchestration (Docker, Kubernetes)Familiarity with GPU optimization, distributed compute, and model performance tuningPreferred Skills:Experience building GenAI‑Powered applications and automation systemsKnowledge of data engineering, ETL pipelines, and feature storesFamiliarity with observability tools (Prometheus, Grafana, CloudWatch)Understanding of cloud security best practices and zero‑trust principlesBackground in real‑time inference and scalable microservicesBenefitsWhat We Offer:High‑impact role shaping the future of GenAI and cloud‑native AI systemsOpportunity to work with cutting‑edge LLMs, cloud platforms, and emerging AI technologiesCollaborative, innovative, and growth‑driven environmentHow to ApplyFor applications and inquiries, please email our Talent Team at : careers@apogeeglobalrms.com
