Principal AI Software Engineer
Tasks
- Build fine tune and adapt LLMs
- Communicate technical trade-offs to stakeholders
- Define AI ML agent architecture
- Design dataset and synthetic data pipelines
- Develop prototype to production pipelines
- Develop retrieval and reasoning systems
- Ensure production readiness testing and evaluation
- Establish AI safety guardrails
- Integrate traditional AI ML into agent workflows
- Lead ML LLM agent design and implementation
- Mentor data scientists and engineers
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Artificial Intelligence | Azure | Cloud Computing | Cloud platform | Distributed Systems | Google Cloud | Google Cloud Platform | Knowledge graphs | LLM orchestration | Langchain | Langgraph | Language Models | Language Processing | Large Language Models | Machine Learning | Microservices | Multimodal Models | Natural Language | Natural Language Processing | Python | Retrieval-Augmented Generation | SQL | SQL Evaluation | Salesforce | Semi-Supervised Learning | Semi-supervised | Supervised Learning | Unsupervised Learning
Education
Regions
Countries
States
Cities
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