AI Engineer
Tasks
- Build REST APIs
- Build generative AI applications
- Connect tools through apis and connectors
- Create microservices
- Design prompt workflows
- Develop Python backend services
- Develop data and feature pipelines
- Implement mcp style tool usage patterns
- Implement rag pipelines
- Ingest clean preprocess and structure datasets
- Integrate AI applications with enterprise systems
- Optimize ai systems for latency response quality hallucination reduction robustness and token efficiency
- Optimize retrieval for rag systems
- Orchestrate AI agents
- Prepare knowledge sources for rag including chunking indexing and metadata
- Test evaluate log monitor and debug ai applications
Perks/Benefits
Skills/Tech-stack
APIs | AWS | Agent Frameworks | Angular | Azure | Cloud Computing | CrewAI | FastAPI | Flask | Generative AI | Google Cloud | JSON | Langchain | Langgraph | Language Models | Large Language Models | Latency optimization | Llamaindex | Machine Learning | Microservices | NoSQL | NoSQL Databases | Node.js | Prompt engineering | PySpark | Python | RAG | REST APIs | React | Retrieval-Augmented Generation | SQL | Token efficiency | Vector Databases
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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