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 secure cloud on premise and air gapped deployments
- Conduct original research in agentic systems and autonomous execution
- Define AI ML research strategy and roadmap for Trase OS
- Design model behavior in long lived execution environments
- Drive architecture decisions for orchestration model serving and infrastructure governance
- Establish evaluation and reliability frameworks
- Lead large scale experimentation and prototyping
- Mentor and influence technical direction across the organization
- Operationalize research outcomes with engineering and product teams
- Publish technical papers and contribute to research community
Perks/Benefits
- 401k
- Dental insurance
- Equity incentives
- FSA
- Health insurance
- Mental health benefits
- Paid Maternity Leave
- Paid paternity leave
- Professional development
- Unlimited paid time off
- Vision insurance
Skills/Tech-stack
Agent systems | Air gapped deployment | Air-gapped | Artificial Intelligence | Cost Optimization | Deep learning | Distributed Systems | Evaluation | Experiment design | Fine Tuning | Generative AI | Human Feedback | Human-in-the-loop | LLM Inference | Language Models | Language Processing | Large Language Models | Latency optimization | Learning from Human Feedback | Machine Learning | Memory systems | Model Serving | Multi-Agent | Multi-Agent Systems | Multimodal Systems | NLP | Natural Language | Natural Language Processing | Observability | Orchestration | Post-training | Prompt engineering | Python | RAG | Reasoning systems | Regression testing | Reinforcement Learning | Reinforcement Learning from Human Feedback | Reliability Engineering | Retrieval-Augmented Generation | Secure computing | The Loop | Tool use
Education
Roles
AI Researcher | Principal | Principal AI Researcher | Researcher
Regions
Countries
States
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