Principal Applied AI Engineer, Finance
Virtual Office (Massachusetts), United States
R
USD 340K Senior-level Full Time
Tasks
- Architect agentic AI systems
- Build attrition prediction models
- Containerize AI workloads
- Define responsible AI guardrails
- Deploy production-grade AI systems
- Develop APIs
- Develop multi agent LLM workflows
- Engineer behavioral features
- Establish MLOps deployment monitoring governance
- Establish evaluation and monitoring frameworks
- Implement CI/CD pipelines
- Implement generative AI solutions
- Integrate AI services into applications
- Lead cross-functional projects
- Lead time series forecasting models
- Mentor data specialists
- Orchestrate cloud native architectures
- Perform retraining and drift detection
- Set AI ML technical direction
Perks/Benefits
- 401k matching
- Adoption Assistance
- Development and career growth opportunities
- Fertility treatments
- Flexible work schedules
- Medical/Dental/Vision insurance
- Open time off
- Paid Holidays
- Telehealth Coverage
- Work-from-home opportunities
Skills/Tech-stack
API Development | Agent systems | CI/CD | Churn modeling | Cloud Computing | Compliance | Deep learning | Distributed Systems | Docker | Drift Detection | Evaluation metrics | Fine Tuning | Generative AI | Kubernetes | Language Models | Large Language Models | MLOps | Machine Learning | Model Drift | Model Drift Detection | Model Governance | Monitoring | Multi-Agent | Multi-Agent Systems | Predictive Modeling | Prompt engineering | Python | RAG | Semantic Search | Series forecasting | Testing | Time Series | Time Series Forecasting | Tool use | Vector Databases
Education
N/A
Roles
AI | AI Engineer | Applied AI Engineer | Engineer | Principal | Principal Applied AI Engineer
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