AI Lead Engineer, Client Technology - Senior Vice President
Location(s): New York, New York, United States
USD 176K-265K Senior-level Full Time
Tasks
- Automate complex tasks
- Build agentic system architectures
- Build scalable, reliable, secure systems
- Collaborate with cross-functional teams
- Conduct AI research and proofs of concept
- Create technical documentation
- Design AI agents
- Design evaluation metrics
- Develop AI service APIs
- Develop generative AI solutions
- Integrate large language models
- Integrate machine learning models
- Lead technical teams
- Optimize agent performance
- Optimize workflows
- Prototype MVP features
- Run A/B experiments
Perks/Benefits
- 401k
- Dental insurance
- Disability insurance
- Health insurance
- Life insurance
- Paid Holidays
- Paid time off
- Vision insurance
- Wellness programs
Skills/Tech-stack
API Design | Agent systems | Agile | Autogen | Automated Planning | CI/CD | Code review | CrewAI | Data Architecture | Data Engineering | Decision Making | Decision making under uncertainty | Django | Docker | Event Driven | Event-driven architecture | FastAPI | Flask | Git | Java | JavaScript | Knowledge representation | Kubernetes | Langchain | Language Models | Large Language Models | Machine Learning | Microservices | Multi-Agent | Multi-Agent Systems | Next.js | Node.js | NumPy | Pandas | Predictive Modeling | Prompt engineering | PySpark | PyTorch | Python | RAG | React | Reinforcement Learning | SQL | Scikit-learn | Security | Spring Boot | Spring Cloud | Spring Security | System design | TensorFlow | Testing | TypeScript
Education
Roles
AI | AI Lead | AI Lead Engineer | Engineer | Lead Engineer | Learning Engineer | Machine Learning Engineer | Software Engineer
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