AI Engineer Software (Level 2 or 3)
Tasks
- Build Agentic AI workflows
- Build RAG pipelines
- Create example notebooks
- Curate clean and annotate datasets
- Develop AI services APIs
- Develop LLM solutions
- Develop technical documentation
- Evaluate AI solutions
- Implement automated testing
- Implement monitoring and logging
- Integrate fine tuned models into microservices
- Mentor junior teammates
- Propose AI stack upgrades
- Troubleshoot latency issues
- Troubleshoot model drift
Perks/Benefits
Skills/Tech-stack
AWS | Agentic AI | Automated testing | Azure | CI/CD | Cloud platform | Docker | ETL | Embeddings | Faiss | Function Calling | GRPC | Git | Google Cloud | Google Cloud Platform | GraphQL | Hugging Face | Hugging Face Transformers | Integration Testing | Kubernetes | Langchain | Langgraph | Language Models | Large Language Models | Latency monitoring | Logging | MLOps | Milvus | Model Evaluation | Pinecone | Prompt engineering | PyTorch | Python | REST | Retrieval-Augmented Generation | Similarity Search | Structured outputs | Tool use | Unit Testing | Vector Databases
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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