Sr. Gen AI Engineer
Ridgefield Park, NJ, United States
A USD 150K-188K (estimate) Senior-level Contract Full Time
Tasks
- Build AI agents for task automation
- Build LLM-powered applications
- Build evaluation testing and monitoring for AI systems
- Collaborate with product managers, designers, and stakeholders
- Create evaluation frameworks for quality factuality latency safety reliability
- Deploy scalable AI services to cloud using MLOps
- Design deep learning algorithms for generative models
- Develop RAG pipelines using enterprise data sources
- Implement prompt engineering structured outputs tool calling model optimization
- Implement responsible AI guardrails security controls
- Integrate model providers and open source models
- Set up monitoring observability and feedback loops
Perks/Benefits
Skills/Tech-stack
AI Agents | AI Search | AWS | AWS Bedrock | Agentic Workflows | Application development | Azure | Azure AI | Azure AI Search | Azure OpenAI | CI/CD | Chroma | Deep learning | Distributed Systems | Docker | Elasticsearch | Faiss | GCP | Generative AI | JAX | Kubernetes | LLM Application Development | LLM application | Langchain | Language Models | Language Processing | Large Language Models | Llamaindex | MLOps | MLflow | Natural Language | Natural Language Processing | Observability | OpenAI | Orchestration | Pinecone | Prompt engineering | PyTorch | RAG evaluation | Reliability | Retrieval-Augmented Generation | Scalability | Semantic Kernel | Software Architecture | Structured Output | TensorFlow | Tool-Calling | Vector Databases | Weaviate
Education
Bachelor of Arts | Bachelor of Engineering | Bachelor of Science
Regions
Countries
States
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