Apogee Global RMS

Senior AI Engineer

Apogee Global RMS

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Posted on:

Location Type: Remote

Location: CaliforniaUnited States

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About the role

  • 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

Requirements

  • 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
Benefits
  • 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
  • Email for applications: careers@apogeeglobalrms.com
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
PythonAI/ML frameworksPyTorchTensorFlowJAXLLMstransformersfine-tuningMLOpsCI/CD
Soft Skills
cross-functional collaborationbusiness needs translationproblem-solvinginnovation