Director - AI Engineering
Tasks
- Build with AI assisted engineering tools and engineering agents
- Define and evolve technical standards for AI development
- Design and deploy production grade RAG systems
- Design and implement agentic AI systems
- Lead AI ML and GenAI initiatives end to end
- Lead technical decisions across the AI stack
- Own AI solution delivery from build through evaluation deployment and production monitoring
- Prototype AI powered applications and interfaces
- Provide technical leadership and mentorship
Perks/Benefits
Skills/Tech-stack
AWS | Agent Orchestration | Agent systems | Automated Evaluation | CI/CD | Databricks | Deep learning | Docker | GCP | Generative AI | Graph Database | GraphRAG | Hallucination detection | Infrastructure as Code | JavaScript | Kubernetes | Langchain | Langgraph | Language Models | Large Language Models | MCP | Machine Learning | Multi-Agent | Multi-Agent Systems | Observability | Performance Monitoring | Prompt engineering | Python | RAG | Red Teaming | SQL | Safety testing | Tool integration | TypeScript | Vertex AI | “as-code”
Education
Roles
AI Engineering | Director | Director, AI | Director, AI Engineering | Engineering
Regions
Countries
States
Cities
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