DescriptionApogee Global RMS is looking for a Senior AI Engineer who will lead the design development and deployment of advanced GenAI and LLMpowered solutions across cloud platforms. This role requires deep expertise in modern AI architectures handson experience with largescale model development and the ability to build secure scalable cloudnative systems. Qualified professional will collaborate closely with engineering data and product teams to deliver highimpact AI capabilities that accelerate innovation across the organization.
Key Responsibilities:
- Architect and implement GenAI and LLMbased systems including finetuning 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 cloudnative services
- Integrate embeddings vector search and RAG pipelines into production environments
- Optimize GPU/accelerator utilization for distributed training and highperformance inference
- Develop automation for CI/CD MLOps observability and model lifecycle management
- Ensure cloud security compliance and costefficient resource allocation
- Evaluate emerging AI frameworks tools and cloud services to drive innovation
- Partner with crossfunctional teams to translate business needs into technical solutions
Requirements- 58 years of experience in AI/ML engineering or cloudbased AI development
- Strong proficiency with Python and AI/ML frameworks (PyTorch TensorFlow JAX)
- Handson experience with LLMs transformers embeddings and finetuning 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 GenAIPowered 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 zerotrust principles
- Background in realtime inference and scalable microservices
BenefitsWhat We Offer:
- Highimpact role shaping the future of GenAI and cloudnative AI systems
- Opportunity to work with cuttingedge LLMs cloud platforms and emerging AI technologies
- Collaborative innovative and growthdriven environment
How to Apply
For applications and inquiries please email our Talent Team at :
Required Experience:
Senior IC
DescriptionApogee Global RMS is looking for a Senior AI Engineer who will lead the design development and deployment of advanced GenAI and LLMpowered solutions across cloud platforms. This role requires deep expertise in modern AI architectures handson experience with largescale model development an...
DescriptionApogee Global RMS is looking for a Senior AI Engineer who will lead the design development and deployment of advanced GenAI and LLMpowered solutions across cloud platforms. This role requires deep expertise in modern AI architectures handson experience with largescale model development and the ability to build secure scalable cloudnative systems. Qualified professional will collaborate closely with engineering data and product teams to deliver highimpact AI capabilities that accelerate innovation across the organization.
Key Responsibilities:
- Architect and implement GenAI and LLMbased systems including finetuning 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 cloudnative services
- Integrate embeddings vector search and RAG pipelines into production environments
- Optimize GPU/accelerator utilization for distributed training and highperformance inference
- Develop automation for CI/CD MLOps observability and model lifecycle management
- Ensure cloud security compliance and costefficient resource allocation
- Evaluate emerging AI frameworks tools and cloud services to drive innovation
- Partner with crossfunctional teams to translate business needs into technical solutions
Requirements- 58 years of experience in AI/ML engineering or cloudbased AI development
- Strong proficiency with Python and AI/ML frameworks (PyTorch TensorFlow JAX)
- Handson experience with LLMs transformers embeddings and finetuning 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 GenAIPowered 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 zerotrust principles
- Background in realtime inference and scalable microservices
BenefitsWhat We Offer:
- Highimpact role shaping the future of GenAI and cloudnative AI systems
- Opportunity to work with cuttingedge LLMs cloud platforms and emerging AI technologies
- Collaborative innovative and growthdriven environment
How to Apply
For applications and inquiries please email our Talent Team at :
Required Experience:
Senior IC
View more
View less