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Senior AI Engineer

4 hours, 19 minutes ago
United States
Contract
Senior
AI Engineer
Software Development
AWS Azure CI/CD Docker GCP Generative AI Grafana Kubernetes LLM Microservices MLOps Prometheus Python PyTorch TensorFlow Transformers
Apply Now
Apogee Global RMS

Apogee Global RMS

Apogee Global RMS provides expert cybersecurity consulting and risk management solutions tailored for small to medium-sized businesses and public sector enterprises, focusing on mitigating emerging threats and enhancing organizational resilience throug...

Professional Services
Founded 2018
View All Jobs 3

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 and 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 such as PyTorch, TensorFlow, or JAX.
  • Hands-on experience with LLMs, transformers, embeddings, and fine-tuning techniques.
  • Experience with cloud platforms such as AWS, Azure, or GCP and services supporting AI workloads.
  • Experience with vector databases such as Pinecone, Weaviate, or FAISS and RAG architectures.
  • Strong understanding of MLOps, CI/CD, containers, and orchestration tools such as Docker and Kubernetes.
  • Familiarity with GPU optimization, distributed compute, and model performance tuning.
  • Preferred: Experience building GenAI-powered applications and automation systems.
  • Preferred: Knowledge of data engineering, ETL pipelines, and feature stores.
  • Preferred: Familiarity with observability tools such as Prometheus, Grafana, or CloudWatch.
  • Preferred: Understanding of cloud security best practices and zero-trust principles.
  • Preferred: 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.

Interested in this position?

Apply directly on the company website

Apply Now

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