Senior AI Engineer (Ph.D. required)
Houston, TX, United States
USD 135K-169K (estimate) Senior-level Full Time
Tasks
- Add AI guardrails
- Align with governance and regulatory requirements
- Architect AI solutions
- Build RAG systems
- Build generative AI applications
- Communicate technical results to stakeholders
- Create knowledge graphs
- Deploy AI models
- Deploy AI workloads on cloud
- Design agentic AI architectures
- Develop AI models
- Develop LLM-powered assistants
- Enable AI observability
- Evaluate AI systems
- Ground AI with trusted context
- Implement LLMOps pipelines
- Implement MLOps pipelines
- Implement human-in-the-loop controls
- Implement multi-agent workflows
- Implement ontologies
- Implement responsible AI practices
- Implement semantic search
- Mentor junior team members
- Orchestrate tool use
- Prototype and iterate on models
- Scale containerized services
Perks/Benefits
Skills/Tech-stack
APIs | AWS | Agent systems | Agentic AI | Artificial Intelligence | Docker | Fine Tuning | Generative AI | Human-in-the-loop | Knowledge graphs | Kubernetes | LLMOps | Language Models | Large Language Models | MLOps | Machine Learning | Microservices | Model Risk Management | Model risk | Multi-Agent | Multi-Agent Systems | Observability | Ontologies | Orchestration | Prompt engineering | Python | Retrieval-Augmented Generation | Risk Management | SQL | Semantic Search | The Loop | Tool use | Vector Databases
Education
Roles
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