AI / LLM Systems Engineer – Egofold (Junior to Mid-Level)
Tasks
- Build training evaluation and feedback workflows
- Create testing benchmarking and monitoring tools
- Design AI systems with Large Language Models
- Develop validation and safety mechanisms for AI outputs
- Document systems workflows and technical decisions
- Implement memory context management and world state representation
- Integrate AI systems into real time applications
- Perform code reviews and architecture planning
- Prototype agent frameworks and retrieval systems
Perks/Benefits
- 401k matching
- Dental insurance
- Health insurance
- Life insurance
- Long-term disability
- Paid Holidays
- Paid time off
- Sick leave
- Vision insurance
Skills/Tech-stack
API Integration | AWS | Agent Frameworks | Agentic Workflows | Autogen | Azure | CrewAI | Documentation | Embeddings | Fine Tuning | Google Cloud | Langchain | Langgraph | Language Models | Large Language Models | Machine Learning | Model Evaluation | Prompt engineering | Python | RAG | Reinforcement Learning | Retrieval-Augmented Generation | Testing | Vector Databases | Version control
Education
N/A
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
Regions
Countries
States
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