Experienced AI Engineer
Tasks
- Build RAG workflows
- Build agentic and multi agent workflows
- Design end-to-end AI systems
- Develop and deploy AI models
- Develop reusable AI assets
- Ensure model scalability performance security
- Fine tune and optimize machine learning models
- Implement AI governance and responsible AI practices
- Integrate AI models into enterprise systems
- Mentor junior engineers
- Orchestrate autonomous AI agents
Perks/Benefits
- N/A
Skills/Tech-stack
AI Search | API Development | Amazon Web Services | Autogen | Azure | Azure AI | Azure AI Search | Bias Mitigation | CI/CD | Cloud platform | CrewAI | Data Pipelines | Docker | Faiss | Generative AI | Google Cloud | Google Cloud Platform | Hugging Face | Hybrid search | Kubernetes | Langchain | Langgraph | Language Models | Language Processing | Large Language Models | Llamaindex | MLOps | Model Interpretability | Model Monitoring | Model versioning | Natural Language | Natural Language Processing | Pinecone | PyTorch | Python | Responsible AI | Retrieval-Augmented Generation | Scikit-learn | TensorFlow | Vector Databases | Web Services
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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