Senior AI Engineer
New York, New York, United States
USD 160K-170K Senior-level Full Time
Tasks
- Apply reinforcement learning for model alignment
- Architect and manage Kafka data pipelines
- Build and maintain MCP servers and integrations
- Build and optimize RAG pipelines
- Conduct code reviews and improve reliability
- Deploy CI CD and infrastructure as code
- Design and implement multi agent orchestration frameworks
- Design and optimize AI and LLM systems
- Design deploy and scale production AI services on AWS
- Fine tune optimize and deploy deep learning models
- Identify and resolve production bottlenecks
- Implement automated evaluation frameworks
- Implement observability with DataDog
- Integrate managed LLM services
- Use GPUs for model training and inference
Perks/Benefits
- N/A
Skills/Tech-stack
AI Feedback | AWS | Agent systems | CI/CD | Datadog | Datadog alerts | Deep learning | Docker | Embeddings | Fine Tuning | GPU Computing | Generative AI | Human Feedback | Infrastructure as Code | Kafka | Language Models | Large Language Models | Learning from Human Feedback | Machine Learning | Model Fine-tuning | Multi-Agent | Multi-Agent Systems | Observability | PyTorch | Python | RAG | Reinforcement Learning | Reinforcement Learning from AI Feedback | Reinforcement Learning from Human Feedback | Semantic Search | TensorFlow | Vector Databases | “as-code”
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
Regions
Countries
States
Cities
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