Senior Staff Engineer, AI,LLM

REQUIREMENTS:

Total experience 8 years.
Strong experience in AI/ML Engineering and Generative AI solution development.
Hands-on expertise in Python development for AI/ML applications and scalable AI services (Must Have).
Strong experience with GCP and Vertex AI including model deployment pipelines and AI services (Must Have).
Deep understanding of LLMs Foundation Models embeddings prompt engineering and RAG architectures (Must Have).
Hands-on experience building Agentic Workflows and AI Agents (Must Have).
Experience with Vector Search AI security governance and responsible AI practices.
Strong knowledge of MLOps CI/CD automated testing and Infrastructure as Code.
Experience with observability monitoring logging and tracing for AI systems.
Strong understanding of APIs microservices and cloud-native architectures.
Excellent problem-solving communication and stakeholder management skills.

RESPONSIBILITIES:

Design build and deploy production-grade Generative AI and Agentic AI solutions using GCP and Vertex AI.
Develop AI Agents Agentic Workflows and RAG-based solutions leveraging enterprise data sources.
Design secure scalable and reliable AI architectures aligned with business requirements.
Build and maintain AI platforms APIs and reusable AI components.
Implement AI security governance monitoring observability and performance optimization practices.
Establish and manage CI/CD pipelines and MLOps processes for AI solutions.
Design and execute AI testing evaluation and quality assurance strategies.
Collaborate with Product Engineering and Data Science teams to deliver AI-powered solutions.
Develop high-quality Python code and participate in code reviews and architecture discussions.
Research emerging AI technologies and drive continuous improvement and innovation.
Troubleshoot production issues and provide technical leadership and mentoring.

Qualifications :

Bachelors or masters degree in computer science Information Technology or a related fields

Remote Work :

No

Employment Type :

Full-time