AI Engineer
Tasks
- Build data and feature pipelines
- Build generative AI applications
- Develop backend services and APIs
- Implement rag pipelines
- Implement tool enabled workflows
- Integrate AI with enterprise systems
- Monitor and debug AI systems
- Optimize knowledge sources for retrieval
- Optimize latency response quality and token efficiency
- Orchestrate agent workflows
- Prepare datasets for AI workflows
- Test and evaluate AI applications
Perks/Benefits
Skills/Tech-stack
APIs | AWS | Agent Frameworks | Azure | Cloud Computing | CrewAI | FastAPI | Flask | Google Cloud | JSON | Langchain | Langgraph | Llamaindex | Microservices | NoSQL | NoSQL Databases | Prompt engineering | PySpark | Python | RAG | REST APIs | SQL | SQL Databases | Vector Databases | Vector Search
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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