Principal Applied AI Engineer
USD 130K-220K (estimate) Senior-level Full Time
Tasks
- Add observability for agent performance
- Architect AI agent solutions
- Build scalable contact center AI systems
- Design conversational flows and decision trees
- Ensure security and compliance for transactions
- Fine tune NLP models for intent recognition
- Implement knowledge models and semantic grounding
- Improve code quality test coverage and deployments
- Integrate CRM ERP and ticketing systems
- Integrate LLMs with enterprise data sources
- Lead technical decisions and development best practices
- Mentor junior engineers
- Monitor and troubleshoot production AI issues
- Optimize agent performance using analytics
Perks/Benefits
Skills/Tech-stack
AWS | Automated testing | Azure | CI/CD | CRM Integration | Chatbots | Cloud platform | Conversational AI | DevOps | Dynamics 365 | ERP integration | Embeddings | Fine Tuning | Google Cloud | Google Cloud Platform | Hugging Face | Intent Recognition | JavaScript | Jira | Knowledge modeling | LLM | Langchain | Language Models | Language Processing | Large Language Models | Llamaindex | LoRA | Model Evaluation | NLP | Natural Language | Natural Language Processing | Observability | Orchestration | PEFT | Prompt engineering | PyTorch | Python | RAG | Retrieval-Augmented Generation | Salesforce | Semantic Knowledge | Semantic Knowledge Modeling | Semantic Search | Service Cloud | ServiceNow | TensorFlow | Vector Databases | Virtual Assistants
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
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