Senior AI Engineering
Tasks
- Apply prompt engineering and fine-tuning
- Build and optimize RAG pipelines
- Build automated evaluation and validation pipelines
- Build data ingestion preprocessing and feature engineering pipelines
- Build scalable backend services and APIs
- Collaborate to translate requirements into AI solutions
- Design and develop production-grade AI applications
- Develop AI agents and workflow automation systems
- Ensure explainability and bias mitigation
- Evaluate models for accuracy latency robustness and impact
- Implement model versioning and experiment tracking
- Implement observability logging monitoring and reliability
- Integrate AI models into production applications
- Mentor junior engineers
- Optimize performance and cost efficiency
- Perform code reviews and architecture contributions
- Run A B testing and feedback loops
Perks/Benefits
- N/A
Skills/Tech-stack
A/B | A/B Testing | API Development | Adapters | B testing | Backend Development | Data Ingestion | Data Preprocessing | Distributed Systems | Embeddings | Experiment tracking | Feature Engineering | Fine Tuning | Generative AI | Language Models | Large Language Models | LoRA | Logging | MLOps | Model Evaluation | Model versioning | Monitoring | Observability | Prompt engineering | PyTorch | Python | RAG | Retrieval-Augmented Generation | TensorFlow | Vector Databases
Education
N/A
Roles
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