Principal Generative AI Engineer
Tasks
- Advise build vs buy for GenAI infrastructure
- Align with AI governance frameworks
- Coach engineers and set safety and evaluation standards
- Define GenAI evaluation frameworks
- Define responsible AI principles
- Design and build core GenAI components
- Design prompt design patterns and RAG pipelines
- Drive LLMOps and fine tuning practices
- Hold sign off on complex GenAI systems
- Implement guardrails and observability
- Lead agent orchestration and multi agent workflows
- Optimize cost latency and throughput
- Represent company externally through publications and talks
- Set GenAI architecture
- Veto GenAI implementations that miss safety or quality bar
Perks/Benefits
- Books and courses budget
- Cycle to work scheme
- Fitness discounts
- Flexibility to work from home up to 1 day per week
- Health insurance
- Paid volunteering day
- Parental benefits
- Pension scheme
- Stock options
- Work-life balance
Skills/Tech-stack
AI Gateways | AI Governance | AI RMF | AWS | Adversarial prompts | Agent Orchestration | Agent systems | CI/CD | Cost attribution | Fine Tuning | Golden datasets | Hallucination mitigation | Injection Defense | LLM APIs | LLM Evaluation | LLMOps | Model routing | Multi-Agent | Multi-Agent Systems | Multimodal Systems | NIST AI | NIST AI RMF | Observability | Prompt engineering | Prompt injection | Prompt injection defense | Python | RAG | Responsible AI | Retrieval-Augmented Generation | SLOs | Semantic Caching | Tool use | Vector Databases
Education
N/A
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