Applied AI Engineer
Tasks
- Deploy and iterate production systems
- Design and deliver end-to-end AI solutions
- Implement LLM-powered systems
- Integrate solutions with enterprise systems
- Lead technical implementation
- Own solution definition and build
- Translate business needs into engineering plans
- Work with business teams to identify AI opportunities
Perks/Benefits
- Commuter benefits
- Equity
- Extra Time Off for Parents and Caregivers
- Extra time off
- Hybrid remote work
- Lunch and learns
- Lunch stipend
- Parking benefits
- Pension
- Private medical insurance
- Skills Based Courses
- Team events
- Udemy access
- Volunteer opportunities
Skills/Tech-stack
AI Agents | API Design | AWS | Autogen | CrewAI | Data Pipelines | LLM orchestration | LangFlow | Langchain | Langgraph | Language Models | Large Language Models | Llamaindex | Microservices | PGVector | Pinecone | Prompt engineering | Python | RAG | RAG Pipelines | Semantic Search | Vector Databases | Weaviate
Education
N/A
Roles
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