Senior AI Engineer - Vice President
Location(s): Jersey City, New Jersey, United States
USD 142K-213K Senior-level Full Time
Tasks
- Assess and manage business risk
- Automate testing and agent evaluation
- Build Python backend services
- Build autonomous AI systems
- Build data pipelines
- Conduct security vulnerability analysis
- Deploy AI agents
- Deploy to cloud native environments
- Design AI agent architecture
- Develop REST APIs
- Develop end-to-end Agentic AI solutions
- Develop resilient systems with error handling fault tolerance
- Ensure code quality with reviews
- Ensure compliance and escalate control issues
- Ensure data governance compliance
- Establish CI/CD practices
- Implement intelligent routing
- Implement profiling and caching strategies
- Implement secure scalable data storage for conversational AI
- Integrate AI with enterprise systems via APIs
- Lead AI agent development
- Mentor and coach engineering teams
- Optimize AI agent performance latency cost
- Optimize distributed systems
- Test debug and troubleshoot software issues
Perks/Benefits
Skills/Tech-stack
Angular | Asyncio | Automated testing | CI/CD | Caching | Compression | Data Governance | DeepSpeed | Distributed Logging | Distributed Systems | Docker | Error Handling | Event Driven | Event-driven architecture | FastAPI | Fault Tolerance | Fine Tuning | GPTQ | GenAI | Hybrid search | Java | Kubernetes | Langchain | Langgraph | Language Models | Language Processing | Language Understanding | Large Language Models | Machine Learning | Microservices | MongoDB | Multi-vector Retrieval | Natural Language | Natural Language Processing | Natural Language Understanding | NoSQL | NoSQL Databases | Node.js | Open Source | OpenShift | Profiling | Python | Quantization | RAG | REST APIs | React | SQL | Spring Boot | Transformers | VLLM | Vector Retrieval
Education
Roles
AI | AI Engineer | Architect | Engineer | Learning Engineer | Machine Learning Engineer | Software Architect
Regions
Countries
States
Cities
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