Principal AI Researcher (Agentic Systems & AI Infrastructure)
Seattle, WA or McLean, VA or Remote
R
USD 250K-300K Senior-level Full Time
Tasks
- Build AI systems for regulated constrained environments
- Conduct agentic systems and autonomous execution research
- Contribute to AI research community publications and presentations
- Define AI ML research strategy and roadmap
- Design long lived execution workflows
- Design tool use planning and memory systems
- Drive orchestration and infrastructure architecture decisions
- Establish evaluation methodologies and reliability frameworks
- Implement human-in-the-loop controls
- Lead large scale experimentation and prototyping
- Mentor teams and set technical direction
- Partner with engineering and product to deploy research to production
Perks/Benefits
- 401k
- Career advancement
- Employer paid health care
- Equity incentives
- FSA
- Mental health benefits
- Paid maternity and paternity
- Professional development
- Unlimited PTO
Skills/Tech-stack
Agent systems | Agentic Systems | Air gapped deployments | Air-gapped | Artificial Intelligence | Cost Optimization | Deep learning | Distributed Systems | Evaluation | Fine Tuning | Human Feedback | Human-in-the-loop | Inference Optimization | Language Models | Large Language Models | Latency optimization | Learning from Human Feedback | Machine Learning | Memory systems | Model Optimization | Model Serving | Multi-Agent | Multi-Agent Systems | Multimodal Systems | NLP | Observability | On-premise | On-premise deployment | Orchestration | Planning | Prompt engineering | Python | RAG | Regression testing | Reinforcement Learning | Reinforcement Learning from Human Feedback | Reliability Engineering | Routing | Secure deployment | The Loop | Tool use
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Roles
AI | AI Researcher | Principal | Principal AI Researcher | Researcher
Regions
Countries
States
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