Senior Generative AI Developer
Location(s): New York, New York, United States
USD 142K-213K Senior-level Full Time
Tasks
- Architect end to end generative AI pipelines
- Build Retrieval Augmented Generation systems
- Build prompt engineering frameworks
- Collaborate on AI risk and compliance governance
- Design ML and GenAI deployment pipelines
- Design data pipelines for AI systems
- Develop Python services and APIs
- Develop autonomous AI “Agents”
- Ensure reliability observability and governance
- Evaluate LLM model performance
- Implement LLM integrations
- Implement multi-agent orchestration frameworks
- Integrate and fine-tune LLMs
- Integrate embedding models
- Mentor developers and lead code reviews
- Translate business requirements into AI solutions
Perks/Benefits
- 401k
- Dental insurance
- Disability insurance
- Health insurance
- Life insurance
- Paid Holidays
- Paid time off
- Vision insurance
- Wellness programs
Skills/Tech-stack
AI Platform | AWS | AWS Bedrock | Airflow | Anthropic | Async Programming | Automated testing | Azure | Azure OpenAI | Bash | Bias detection | CI/CD | Chroma | Cloud AI Platform | Docker | Explainability | FastAPI | Few-Shot Learning | Few-shot | Flask | GCP | Git | Google Cloud | Google Cloud AI | Google Cloud AI Platform | Google Vertex | Google Vertex AI | Hallucination mitigation | Inference Optimization | Kafka | Kubernetes | Langchain | Langgraph | Llamaindex | LoRA | MLOps | MLflow | Model Evaluation | MongoDB | OpenAI | PEFT | PGVector | Pinecone | PostgreSQL | Prompt engineering | Python | Redis | Retrieval-Augmented Generation | SQL | Semantic Kernel | Spark | Vector Databases | Vector Search | Vertex AI | Weaviate | Weights and Biases
Education
Regions
Countries
States
Cities
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