AI Engineer
Tasks
- Automate business processes
- Build GenAI backends
- Build predictive pipelines
- Collaborate with business stakeholders
- Deliver iterative value in Agile Scrum teams
- Deliver recommendations through conversational interfaces
- Design RAG pipelines
- Develop agentic workflows
- Develop machine learning classifiers
- Implement computer vision systems
- Implement prompt engineering
- Improve observability
- Integrate LLMs
- Measure quality latency and cost
- Monitor production AI systems
- Optimize embeddings
- Orchestrate AI computations
- Perform backup and recovery
- Set up CI CD for AI
- Summarize data
Perks/Benefits
- Development focused meetups
- Health benefits
- Real ownership
- Speed coaching
- Sports benefits
- Team events
- Work-life balance
Skills/Tech-stack
AI Services | Agentic Architectures | Azure | Azure AI | Azure AI Services | CI/CD | Computer Vision | Deep learning | Embeddings | Language Models | Language Processing | Large Language Models | Machine Learning | Monitoring | Natural Language | Natural Language Processing | NumPy | Observability | Pandas | Prompt engineering | Python | React | Reranking | Retrieval-Augmented Generation | SQL
Education
N/A
Roles
AI | AI Engineer | Data Scientist | Engineer | Learning Engineer | Machine Learning Engineer | Scientist
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