Sr. Gen AI Engineer
Ridgefield Park, NJ, United States
A USD 80K-141K (estimate) Senior-level Contract Full Time
Tasks
- Build and optimize AI agents and agentic workflows
- Build monitoring observability and feedback loops
- Collaborate with stakeholders on AI opportunities
- Create evaluation frameworks for AI systems
- Deploy scalable AI services with MLOps
- Design and build LLM-powered applications
- Design and develop generative model algorithms
- Develop and productionize RAG pipelines
- Establish guardrails and responsible AI controls
- Implement prompt engineering and structured outputs
- Integrate model providers
- Mentor engineers and contribute to architecture
Perks/Benefits
Skills/Tech-stack
AI Safety | AI Search | AWS Bedrock | AWS SageMaker | Agent systems | Agentic Workflows | Anthropic | App Development | Azure AI | Azure AI Search | Azure Machine Learning | Azure OpenAI | CI/CD | Chroma | Deep learning | Distributed Systems | Docker | Elasticsearch | Faiss | Generative AI | Google Vertex | Google Vertex AI | JAX | Kubeflow | Kubernetes | LLM App Development | Langchain | Language Models | Large Language Models | Llamaindex | MLOps | MLflow | Machine Learning | Model Evaluation | Model Monitoring | Multi-Agent | Multi-Agent Systems | NLP | Observability | OpenAI | Pinecone | Prompt engineering | PyTorch | Python | RAG | Red Teaming | Responsible AI | Retrieval-Augmented Generation | Semantic Kernel | Structured Output | TensorFlow | Tool-Calling | Vector Databases | Vertex AI | Weaviate
Education
Regions
Countries
States
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