Applied AI Engineer
Tasks
- Advance prompt orchestration
- Analyze claims data
- Architect AI native features
- Build LLM-powered agents
- Build conversational health assistant
- Build proactive health outreach engine
- Build retrieval systems
- Conduct red teaming
- Create evaluation frameworks
- Deploy AI workloads to production
- Deploy LLM powered agents
- Develop AI powered triage
- Implement LLM safety guardrails
- Improve context engineering
- Ship AI native features
Perks/Benefits
- Collaborative team environment
- High ownership
- High-growth environment
- Mission-driven work
- Rapid career progression
Skills/Tech-stack
AWS | Backend Development | Context engineering | Evaluation Frameworks | Guardrails | LLM Agents | LLM safety | Language Models | Large Language Models | Machine Learning | PostgreSQL | Postgres | Prompt engineering | Prompt orchestration) | Python | RAG | REST APIs | React | Red Teaming | Retrieval-Augmented Generation | TypeScript
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Regions
Countries
States
Cities
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