AI Engineer
Tasks
- Advise on AI application integration
- Advise on latency reliability observability testability guardrails
- Assess LLM solutions
- Assess agentic workflows
- Assess retrieval augmented generation
- Collaborate with platform engineers and mission users
- Design AI-enabled applications
- Develop AI prototypes
- Evaluate AI enabled tools
- Evaluate model usage patterns
- Evaluate prompt pipelines
- Perform qualitative review of AI tools
- Provide technical advisory support
- Provide technical guidance for stakeholders
- Review AI architecture and technical risk
- Stay current on AI ecosystem tools and practices
- Support performance assessment
- Validate workflow execution
Perks/Benefits
- N/A
Skills/Tech-stack
AI Assurance | AI Development | APIs | Agentic Workflows | Cloud AI | Cloud AI development | Embeddings | Evaluation harnesses | Guardrails | Human-in-the-loop | Inference Pipelines | JavaScript | Language Models | Large Language Models | Latency | Model APIs | Model Hosting | Observability | Orchestration | Prompt engineering | Prompt pipelines | Python | Reliability | Retrieval-Augmented Generation | Testability | The Loop | TypeScript | Vector Databases
Education
Roles
AI | AI Engineer | Engineer
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