AI/ML Engineer - (Python/RAG)
Tasks
- Build end to end AI solutions with experimentation and evaluation
- Conduct code reviews and implement best practices
- Design and build agentic frameworks for sales use cases
- Develop conversational AI systems for sales workflows
- Embed generative AI tools into sales platforms
- Mentor team members on generative AI implementation
- Monitor AI production performance at scale
- Synthesize client intelligence across multiple data sources
Perks/Benefits
- Company-Paid Holidays
- Employee assistance programs
- Life and disability insurance
- Medical, dental, and vision coverage
- Paid time off
- Retirement savings plans
Skills/Tech-stack
Agentic Frameworks | Algorithms | Anthropic Claude | Context Management | Data Structures | Deep learning | Distributed Computing | Embeddings | Fine Tuning | Generative AI | Integration Patterns | Language Models | Large Language Models | Machine Learning | Memory Management | Model Deployment | Model Evaluation | Model Fine-tuning | Model Inference | Model Monitoring | Python | RAG | Re-rankers | Retrieval-Augmented Generation | Tool Integration Patterns | Tool integration | Vector Databases
Education
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