Sr. Gen AI Engineer
Ridgefield Park, NJ, United States
A USD 80K-141K (estimate) Senior-level Contract Full Time
Tasks
- Build LLM-powered applications
- Build and optimize AI agents and workflows
- Build monitoring and observability
- Collaborate with product and business stakeholders
- Create evaluation frameworks
- Deploy scalable AI services with MLOps
- Design and develop generative model algorithms
- Develop RAG pipelines
- Establish security controls for enterprise AI
- Implement guardrails and responsible AI controls
- Implement prompt engineering and structured outputs
- Integrate model providers
- Mentor engineers and define architecture
Perks/Benefits
Skills/Tech-stack
AI Governance | AI Search | AWS Bedrock | AWS SageMaker | Agent systems | Anthropic | Application development | Azure AI | Azure AI Search | Azure ML | Azure OpenAI | CI/CD | Chroma | Deep learning | Docker | Elasticsearch | Evaluation | Faiss | Generative AI | JAX | Kubeflow | Kubernetes | LLM Application Development | LLM application | Langchain | Language Models | Language Processing | Large Language Models | Latency optimization | Learning operations | Llamaindex | MLOps | MLflow | Machine Learning | Machine Learning Operations | Monitoring | Multi-Agent | Multi-Agent Systems | Natural Language | Natural Language Processing | Observability | OpenAI | Pinecone | Prompt engineering | PyTorch | Python | RAG Pipelines | Red Teaming | Retrieval-Augmented Generation | Safety and reliability | Semantic Kernel | Structured outputs | TensorFlow | Tool use | Vector Databases | Vertex AI | Weaviate
Education
Roles
AI Engineer | Engineer | Gen AI Engineer | Senior Gen AI Engineer
Regions
Countries
States
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