Senior Applied AI Engineer
Tasks
- Build Retrieval Augmented Generation systems
- Build agentic systems
- Build backend APIs for ML services
- Collaborate with product design and backend teams to ship AI features
- Design and implement ML powered document processing systems
- Develop evaluation frameworks for accuracy latency and reliability
- Fine-tune LLMs
- Implement cloud deployments and system monitoring
- Integrate ML services into core platform
- Monitor and optimize model performance
- Own code from prototype to production
- Serve models for production workloads
- Write performant maintainable Python code
Perks/Benefits
Skills/Tech-stack
AWS | Agentic Systems | Cloud infrastructure | Cloud platform | Data Preprocessing | Data postprocessing | Docker | Evaluation | Fine Tuning | Go | Google Cloud | Google Cloud Platform | Information Retrieval | Kubernetes | Language Models | Language Processing | Large Language Models | Latency optimization | Machine Learning | Microsoft Azure | Model Serving | NLP | Natural Language | Natural Language Processing | Prompt engineering | Python | Retrieval-Augmented Generation | TypeScript
Education
N/A
Regions
Countries
States
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