Senior AI Engineer

Job not on LinkedIn

🕒 March 5

🏄 California – Remote

🏄 California – Remote

⏳ Contract/Temporary

🟠 Senior

🤖 AI Engineer

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Apogee Global RMS

WebsiteLinkedInAll Job Openings

1 - 10 employees

Founded 2018

🔒 Cybersecurity

🤝 B2B

🎯 Recruiter

Cybersecurity • B2B • Recruitment

Apogee Global RMS is a veteran‑led risk management and advisory firm that integrates cyber and physical security, leadership development, and executive talent acquisition into unified solutions for mid‑market businesses and public sector organizations. The company provides managed detection and response, virtual CISO services, incident response, penetration testing, compliance and posture assessments, ransomware readiness, and security operations (MDR/SOC), alongside executive search, RPO, and leadership development services to strengthen organizational resilience. Apogee emphasizes outcome‑driven, mission‑aligned partnerships, bringing federal and Fortune‑level rigor to resource‑constrained clients while focusing on practical implementation of people, process, and technology to reduce strategic risk.

📋 Description

• 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: [email protected]