AI Engineer (Agentic AI)

Location: Hybrid, San Diego, California, United States

Company

hirify.global develops the Autonomous Knowledge Platform, a unified data and AI platform for enterprise intelligence across on-premises, cloud, hybrid, and multi-cloud environments.

What you will do

• Design and build intelligent, autonomous AI systems for enterprise-scale agentic technology.
• Lead the development of scalable, secure, cloud-native frameworks that enable AI agents to reason, plan, act, and collaborate in production environments.
• Create runtime components, automation capabilities, and infrastructure for generative AI and agentic AI solutions.
• Collaborate with AI researchers, platform teams, architects, product leaders, and engineering teams to bring agentic capabilities from concept to production.
• Enable enterprise customers to use resilient, safely governed AI agents that deliver measurable business value.

Requirements

• Proven experience designing, developing, and deploying autonomous AI agents at scale.
• Expertise in agent-based architectures and runtime components for AI and LLM systems.
• Hands-on experience implementing governance, safety, and compliance in agentic AI environments.
• Ability to partner with product leaders, architects, and platform teams to define enterprise-grade AI capabilities.
• Strong technical ability in intelligent automation, generative AI, and agentic system design.
• Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related field.
• Experience in software architecture, backend development, or AI infrastructure, with strong Python skills and familiarity with Java, Go, and C++.
• Deep expertise in agent development, LLM integration, prompt engineering, runtime systems, and AI tooling.
• Experience with MCP servers, vector databases, RAG systems, graph-based memory, and NLP frameworks.
• Ability to design memory management, context handling, observability, and identity capabilities for agentic systems.
• Strong background in distributed systems, backend services, API design, and cloud-native deployments on AWS, Azure, or GCP.
• Proficiency with containerization, CI/CD pipelines, and scalable production infrastructures.
• Excellent communication and documentation skills, with the ability to mentor and collaborate across teams.
• Passion for safe, human-aligned autonomous systems and extending open-source tools.

Culture & Benefits

• People-first culture centered on employee well-being.
• Flexible work model supporting decisions about how, when, and where work is performed.
• Inclusive environment committed to welcoming people from diverse backgrounds.
• Work within a global engineering organization at the intersection of cloud computing, advanced analytics, and AI-driven automation.