Senior AI Engineer
New York, New York, United States
USD 160K-180K Senior-level Full Time
Tasks
- Apply reinforcement learning techniques
- Build and maintain MCP servers
- Build and optimize RAG pipelines
- Communicate progress and outcomes
- Conduct code reviews
- Create automated evaluation frameworks
- Deploy and scale AI services on cloud
- Design multi-agent orchestration frameworks
- Design scalable AI and LLM systems
- Fine-tune and deploy deep learning models
- Implement observability frameworks
- Integrate with cloud LLM services
- Learn and adapt to AI advancements
- Manage real-time data pipelines
- Resolve production system bottlenecks
Perks/Benefits
- 401k matching
- Educational reimbursements
- Gym subsidies
- Health benefits
- PTO
- Parental leave
- Pet-friendly offices
- Recognition programs
Skills/Tech-stack
AWS | CI/CD | Data Pipelines | Deep learning | Distributed Systems | Docker | Embedding strategies | Infrastructure as Code | Kafka | Kubernetes | Language Models | Large Language Models | Machine Learning | Monitoring | PyTorch | Python | Reinforcement Learning | Semantic Search | TensorFlow | Vector Databases | “as-code”
Education
Roles
AI | AI Engineer | Engineer
Regions
Countries
States
Cities
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