Sr. Gen AI Engineer
A USD 125K-188K (estimate) Senior-level Contract Full Time
Tasks
- Build AI agents and agentic workflows
- Build LLM-powered applications
- Build monitoring observability and feedback loops
- Collaborate with product and business stakeholders
- Create evaluation frameworks
- Deploy scalable AI services
- Design and develop generative model algorithms
- Develop and productionize RAG pipelines
- Establish guardrails and responsible AI controls
- Implement prompt engineering and structured outputs
- Implement security controls
- Integrate model providers
- Mentor engineers and guide architecture
Perks/Benefits
Skills/Tech-stack
AI Agents | AI Safety | AI Search | AWS | Agentic Workflows | Amazon SageMaker | Application development | Azure AI | Azure AI Search | Azure Machine Learning | CI/CD | Chroma | Cloud Platforms | Data Governance | Deep learning | Distributed Systems | Docker | Elasticsearch | Enterprise Search | Evaluation Frameworks | Faiss | Fine Tuning | GCP | Generative Models | JAX | Kubeflow | Kubernetes | LLM Application Development | LLM application | Langchain | Language Models | Language Processing | Large Language Models | Llamaindex | MLOps | MLflow | Machine Learning | Microsoft Azure | Model Optimization | Monitoring | Natural Language | Natural Language Processing | Observability | Orchestration | Pinecone | Privacy | Prompt engineering | PyTorch | Python | RAG | Red Teaming | Retrieval-Augmented Generation | Semantic Kernel | Software Architecture | Structured Output | TensorFlow | Testing | Tool-Calling | Vector Databases | Vertex AI | Weaviate
Regions
Countries
States
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