Sr. Gen AI Engineer
A USD 80K-141K (estimate) Senior-level Contract Full Time
Tasks
- Build AI agents and agentic workflows
- Build LLM-powered applications
- Collaborate with stakeholders on AI opportunities
- Create evaluation frameworks
- Deploy AI services with MLOps
- Design generative model algorithms
- Develop RAG pipelines
- Establish responsible AI guardrails
- Implement prompt engineering and structured outputs
- Implement security controls
- Integrate model providers
- Mentor engineers on architecture and best practices
- Set up monitoring and observability
Perks/Benefits
Skills/Tech-stack
AI Agents | AI Safety | AI Search | AWS | Agentic Workflows | Amazon SageMaker | Application development | Azure | Azure AI | Azure AI Search | Azure Machine Learning | CI/CD | Chroma | Data Governance | Deep learning | Distributed Systems | Docker | Elasticsearch | Evaluation Frameworks | Faiss | GCP | Generative Models | Guardrails | JAX | Kubeflow | Kubernetes | LLM Application Development | LLM application | Langchain | Language Models | Language Processing | Large Language Models | Llamaindex | MLOps | MLflow | Machine Learning | Model Monitoring | Natural Language | Natural Language Processing | Observability | Pinecone | Prompt engineering | PyTorch | Python | RAG Pipelines | Red Teaming | Retrieval-Augmented Generation | Semantic Kernel | Software Architecture | Structured Output | TensorFlow | Tool-Calling | Vector Databases | Vertex AI | Weaviate
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Regions
Countries
States
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