Principal, AI Engineer (Remote)
Tasks
- Build AI powered assistants copilots workflow automation and knowledge retrieval
- Build Retrieval Augmented Generation systems
- Create evaluation harness for generative AI
- Define AI capability patterns and pattern library
- Design and build shared generative AI and agentic AI capabilities
- Develop agent frameworks orchestration and multi agent patterns
- Ensure AI solutions are instrumented for groundedness quality drift and cost
- Establish responsible AI engineering practices and auditability
- Evaluate AI platforms and recommend direction
- Lead AI solution architecture for generative AI and agentic AI
- Perform AI solution design reviews and technical sign off
- Provide technical mentorship and community of practice enablement
- Set standards for AI evaluation groundedness guardrails observability security and cost
Perks/Benefits
Skills/Tech-stack
API Development | AWS | Agent systems | Agentic AI | Amazon Bedrock | Artificial Intelligence | Bedrock AgentCore | Cloud Architecture | Distributed Systems | Evaluation Frameworks | FinOps | Generative AI | Knowledge Retrieval | Language Models | Large Language Models | Model Risk Management | Model risk | Multi-Agent | Multi-Agent Systems | Observability | Orchestration frameworks | Python | Responsible AI | Retrieval-Augmented Generation | Risk Management | Security | Tool-Calling | Vector Databases
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
Regions
Countries
States
Cities
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