Sr. Gen AI Engineer
Ridgefield Park, NJ, United States
A USD 150K-188K (estimate) Senior-level Contract Full Time
Tasks
- Build LLM-powered applications
- Build and optimize AI agents and agentic workflows
- Collaborate with product and business stakeholders
- Create evaluation frameworks for model responses
- Deploy scalable AI services using MLOps
- Design and develop generative model algorithms
- Develop and productionize RAG pipelines
- Establish guardrails and responsible AI practices
- Implement prompt engineering and structured outputs
- Implement security controls for enterprise AI systems
- Integrate model providers and open source models
- Mentor engineers and drive architecture best practices
- Set up monitoring observability and feedback loops
Perks/Benefits
Skills/Tech-stack
AI Agents | AI Search | AWS | Agentic Workflows | Amazon SageMaker | Application development | Azure | Azure AI | Azure AI Search | Azure Machine Learning | CI/CD | Chroma | Cloud Platforms | Deep learning | Docker | Elasticsearch | Evaluation | Faiss | GCP | Generative Models | JAX | Kubeflow | Kubernetes | LLM Application Development | LLM application | Langchain | Language Models | Language Processing | Large Language Models | Llamaindex | MLOps | MLflow | Machine Learning | Model Optimization | Monitoring | Natural Language | Natural Language Processing | Observability | Pinecone | Prompt engineering | PyTorch | Python | RAG | Retrieval systems | Retrieval-Augmented Generation | Security controls | Semantic Kernel | Structured Output | TensorFlow | Testing | Tool-Calling | Vector Databases | Vertex AI | Weaviate
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Regions
Countries
States
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