10-12+ years of software engineering experience
1-3+ years of hands-on AI engineering experience
Proven success deploying AI solutions into enterprise production environments
Strong security engineering and secure-by-design expertise
Experience building agentic systemsthat operate at scale across business workflows
1-3+ years of dedicated AI engineering experience
Proven experience deploying AI applications into enterprise production environments
Experience supporting solutions with large-scale organizational adoption, significant transaction volumes, or broad user bases
Experience working within large enterprise organizations or highly scalable technology environments
Strong proficiency with Python and modern software engineering practices
Hands-on experience building and deploying autonomous agents and agentic workflows
Experience with:
* Multi-agent systems
Experience with:
* Agent orchestration
Experience with:
* Tool/function calling
Experience with:
* Retrieval-augmented generation (RAG)
Experience with:
* Context engineering
Experience with:
* Memory architectures
Experience with:
* Structured outputs
Experience with:
* LLM evaluation frameworks
Experience with:
* LLMOps
Deep understanding of:
* Token optimization and context management
Deep understanding of:
* API design
Deep understanding of:
* Scalable system architecture
Deep understanding of:
* Event-driven systems
Deep understanding of:
* Cloud-native applications
Experience integrating with enterprise systems and platforms
Experience designing solutions that meet enterprise security and compliance standards
Understanding of secure development practices and security-first architecture
Experience implementing AI governance, guardrails, validation frameworks, or security controls
