Sr. Gen AI Engineer
Ridgefield Park, NJ, United States
A USD 125K-188K (estimate) Senior-level Contract Full Time
Tasks
- Build LLM powered applications for internal and customer use cases
- Build and optimize AI agents and agentic workflows
- Build monitoring observability and feedback loops for production systems
- Collaborate with product managers, designers, and stakeholders
- Create evaluation frameworks for response quality factuality latency safety and reliability
- Deploy scalable AI services using MLOps practices
- Design and develop generative model algorithms using deep learning
- Develop and productionize RAG pipelines
- Establish and maintain guardrails responsible AI and security controls
- Implement prompt engineering structured outputs tool calling and model optimization
- Integrate LLM model providers and open source models
- Mentor engineers and contribute to architecture and technical direction
Perks/Benefits
Skills/Tech-stack
AI Search | API Development | AWS | AWS Bedrock | Azure | Azure AI | Azure AI Search | Azure OpenAI | Backend Development | CI/CD | Chroma | Cloud Computing | Deep learning | Distributed Systems | Docker | Elasticsearch | Evaluation | Faiss | GCP | Generative AI | Guardrails | JAX | Kubernetes | Langchain | Language Models | Large Language Models | Latency optimization | Llamaindex | MLOps | MLflow | Machine Learning | Monitoring | Observability | OpenAI | Pinecone | Prompt engineering | PyTorch | Python | RAG | Red Teaming | Responsible AI | Retrieval-Augmented Generation | Safety | Semantic Kernel | Structured Output | TensorFlow | Tool use | Vector Databases | Weaviate
Education
Regions
Countries
States
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