AI Engineer | Onsite San Diego HQ
Tasks
- Build and maintain agent based systems and orchestration layers
- Build and maintain enterprise prompt libraries
- Build automated pipelines to test accuracy reliability and edge cases
- Collaborate on data security access controls and compliance
- Create evaluation frameworks for LLM outputs
- Design AI system architecture components
- Design and implement AI workflows and applications
- Develop APIs to integrate AI into enterprise systems
- Implement RAG architectures using enterprise data sources
- Monitor and improve model performance in production
- Optimize prompts and agent flows for accuracy consistency and cost
- Prototype and iterate on AI solutions
- Support AI integration into existing enterprise ecosystems
Perks/Benefits
- Caregiver and parental leave
- Health insurance
- Medical leave
- Paid Holidays
- Paid personal days
- Paid vacation
- Retirement savings plan with company match
Skills/Tech-stack
API Design | Docker | Evaluation Frameworks | FastAPI | Flowise | Git | GitHub | ITSM | JavaScript | Langchain | Langgraph | Machine Learning | Machine Learning concepts | Node.js | NumPy | OpenAI APIs | Pandas | Prompt engineering | Python | RAG | React | Service Oriented | Service-Oriented Architecture | ServiceNow | Testing | TypeScript | Vector Databases
Education
Roles
AI | AI Engineer | Engineer
Regions
Countries
States
Cities
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