Remote Senior AI Engineer

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 optimization
Build scalable pipelines for data processing, model training, inference, and continuous improvement
Deploy and manage AI workloads across AWS, Azure, or GCP using cloud‑native services
Integrate embeddings, vector search, and RAG pipelines into production environments
Optimize GPU/accelerator utilization for distributed training and high‑performance inference
Develop automation for CI/CD, MLOps, observability, and model lifecycle management
Ensure cloud security, compliance, and cost‑efficient resource allocation
Evaluate emerging AI frameworks, tools, and cloud services to drive innovation
Partner with cross‑functional teams to translate business needs into technical solutions
5–8+ years of experience in AI/ML engineering or cloud‑based AI development
Strong proficiency with Python and AI/ML frameworks (PyTorch, TensorFlow, JAX)
Hands‑on experience with LLMs, transformers, embeddings, and fine‑tuning techniques
Expertise with cloud platforms (AWS, Azure, or GCP) and services supporting AI workloads
Experience with vector databases (Pinecone, Weaviate, FAISS) and RAG architectures
Strong understanding of MLOps, CI/CD, containers, and orchestration (Docker, Kubernetes)
Familiarity with GPU optimization, distributed compute, and model performance tuning

Preferred Skills:
Experience building GenAI‑Powered applications and automation systems
Knowledge of data engineering, ETL pipelines, and feature stores
Familiarity with observability tools (Prometheus, Grafana, CloudWatch)
Understanding of cloud security best practices and zero‑trust principles
Background in real‑time inference and scalable microservices

What We Offer:
High‑impact role shaping the future of GenAI and cloud‑native AI systems
Opportunity to work with cutting‑edge LLMs, cloud platforms, and emerging AI technologies
Collaborative, innovative, and growth‑driven environment

How to Apply
For applications and inquiries, please email our Talent Team at : View email address on click.appcast.io