AI Engineer (AI Engineering)

TL;DR

AI Engineer (AI Engineering): Designing and building intelligent, autonomous AI systems to push the boundaries of enterprise-scale agentic technology with an accent on developing scalable, secure, cloud-native frameworks for AI agents. Focus on enabling enterprise customers to leverage powerful, resilient, and safely governed AI agents that drive measurable business value.

Location: Remote (San Diego, CA, USA)

Salary: $143,500.00 - $179,400.00 - $215,200.00 Annually

Company

hirify.global delivers harmonized data, trusted AI, and faster innovation, empowering customers to make better, more confident decisions.

What you will do

• Design and build intelligent, autonomous AI systems.
• Lead the development of scalable, secure, cloud-native frameworks for AI agents.
• Create foundational runtime components, automation capabilities, and infrastructure for GenAI and Agentic AI solutions.
• Collaborate with AI researchers, platform teams, and product leadership.
• Enable enterprise customers to leverage powerful AI agents that drive measurable business value.

Requirements

• Proven experience designing, developing, and deploying autonomous AI agents at scale.
• Expertise in building agent-based architectures and runtime components for next-generation AI/LLM systems.
• Hands-on experience implementing governance, safety, and compliance in agentic AI environments.
• Ability to partner effectively with product leaders, architects, and platform teams.
• Strong technical ability with intelligent automation, generative AI, and agentic system design.

What You’ll Bring

• Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related field.
• 3–5+ years of 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 core agentic capabilities such as memory management, context handling, observability, and identity.
• Strong background in distributed systems, backend services, API design, and cloud-native deployments (AWS, Azure, GCP).
• Proficiency with containerization, CI/CD pipelines, and scalable production infrastructures.
• Excellent communication skills, documentation habits, and ability to mentor or collaborate across teams.
• Passion for building safe, human-aligned, autonomous systems and extending open-source tools to innovate.

Culture & Benefits

• Prioritize a people-first culture.
• Embrace a flexible work model.
• Focus on well-being.
• Committed to fostering an inclusive environment.
• Comprehensive benefits programs include healthcare, life and disability insurance plans, a 401(k)-retirement savings plan, and time-off programs.