AI Engineer
Tasks
- Build RAG pipelines
- Deploy AI models in secure enterprise environments
- Design AI powered applications
- Develop LLM based and agentic solutions
- Ensure privacy and compliance for responsible AI
- Evaluate and fine-tune AI models
- Implement AI governance guardrails and safety controls
- Implement prompt engineering
- Integrate AI solutions via APIs
- Operationalize AI solutions with monitoring logging and evaluation
- Optimize model performance cost latency scalability
- Orchestrate agentic workflows
Perks/Benefits
Skills/Tech-stack
API | Bias Mitigation | Compliance | Data Pipelines | Data Privacy | Distributed Systems | Event Driven | Event-driven architecture | Experimentation | Feature Engineering | Governance | LLM | Language Models | Large Language Models | MLOps | Machine Learning | Microservices | Model Evaluation | Model Monitoring | Prompt engineering | Prompt orchestration) | Python | Retrieval-Augmented Generation | Security | Vector Databases | Workflow Orchestration
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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