Lead Generative AI Engineer
Tasks
- Create evaluation frameworks and observability for AI systems
- Deliver production-ready AI applications
- Experiment with emerging AI tools and present findings
- Implement GenAI patterns using vector databases and orchestration frameworks
- Integrate LLM APIs into workflows and design responsible AI guardrails
- Lead technical architecture and decision making for GenAI engagements
- Maintain reusable AI solution templates and technical standards
- Train document and mentor engineering teams
- Validate program team readiness for independent AI operations
Perks/Benefits
- Continuing education
- Flexible time off
- Healthcare
- Learning and development
- Retirement benefits
- Wellness benefits
Skills/Tech-stack
API Integration | AWS | Agentic Systems | Agile | Azure | Best practices | CI/CD | Cloud Computing | Cloud platform | Containers | Context engineering | Cost Optimization | Distributed Systems | Evaluation | GitLab | Google Cloud | Google Cloud Platform | Infrastructure as Code | JavaScript | Jira | Kubernetes | LLM APIs | Language Models | Large Language Models | Observability | Python | Quality optimization | RAG | Security best practices | Terraform | Vector Databases | “as-code”
Education
Roles
AI Engineer | Engineer | Generative AI Engineer | Lead | Lead Generative AI Engineer
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