Staff GenAI Engineer
Tasks
- Apply machine learning techniques
- Apply security best practices
- Build AI powered SaaS products
- Build agentic workflows
- Collaborate on model training and fine-tuning
- Control AI costs
- Define cloud deployment strategies
- Deliver LLM based systems
- Deploy containerized applications
- Design and develop scalable AI systems
- Design data pipelines
- Design tool calling systems
- Develop AI APIs
- Ensure production readiness
- Evaluate and deploy ML and AI models
- Implement RAG architectures
- Implement backend microservices
- Integrate machine learning into production applications
- Lead backend architecture
- Maintain data integrity and performance
- Manage AI memory and orchestration
- Manage SQL and NoSQL databases
- Optimize AI performance
- Set up monitoring and logging
Perks/Benefits
- Collaborative team environment
- Global consulting environment
- Leadership development program
- Mentorship programs
- Training sessions
Skills/Tech-stack
AWS | Agentic AI | Azure | CI/CD | Classification | Clustering | Decision Trees | Distributed Systems | Docker | Generative AI | Google ADK | Google Cloud | Kubernetes | Langchain | Language Models | Large Language Models | Logging | Machine Learning | Microservices | MongoDB | Monitoring | Neural Networks | PostgreSQL | Probabilistic Models | Python | RAG | Regression | Retrieval-Augmented Generation | Security | Terraform
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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