Lead AI Engineer – Agentic & Generative AI (DFW Area)
Tasks
- Build agentic and generative AI platforms
- Conduct design and code reviews
- Define AI evaluation frameworks
- Define AI technical roadmap
- Design RAG data and retrieval architecture
- Develop reusable AI services and SDKs
- Drive AI governance and responsible AI
- Establish prompt design standards
- Implement multi-agent workflows
- Lead complex AI projects to production
- Lead model and retrieval evaluation
- Manage AI reliability SLAs and SLOs
- Mentor AI and ML engineers
- Optimize AI performance and cost
- Own AI system architecture
- Set AI observability and logging practices
Perks/Benefits
Skills/Tech-stack
AWS | Agent systems | Azure | Bias/fairness | CI/CD | Caching | Content Safety | Distributed Systems | Docker | Evaluation | Function Calling | GCP | Human evaluation | Hybrid search | Incident Response | JavaScript | Knowledge graphs | Kubernetes | LLM | Logging | Model Distillation | Model routing | Monitoring | Multi-Agent | Multi-Agent Systems | Observability | PII handling | Privacy | Prompt engineering | Python | RAG | Retrieval-Augmented Generation | Security | Semantic Caching | Tool-Calling | TypeScript | Vector Database
Education
N/A
Roles
AI Engineer | Engineer | Lead | Lead AI Engineer | Senior AI Engineer
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