AI Engineer (AI)

TL;DR

AI Engineer (AI): Design and build intelligent, autonomous AI systems for hirify.global's cloud analytics and data platform with an accent on scalable, secure, cloud-native frameworks for AI agents. Focus on creating foundational runtime components and infrastructure for GenAI and Agentic AI solutions in production environments.

Location: Remote (USA)

Salary: $199,500.00 – $299,300.00 Annually

Company

hirify.global provides a complete cloud analytics and data platform for AI, empowering top companies to make better decisions with harmonized data and trusted AI.

What you will do

• Design and build intelligent, autonomous AI systems to enable enterprise-scale agentic technology.
• Lead development of scalable, secure, cloud-native frameworks that allow AI agents to reason, plan, act, and collaborate.
• Create foundational runtime components, automation capabilities, and infrastructure for next-generation GenAI and Agentic AI solutions.
• Work closely with AI researchers, platform teams, and product leadership to bring advanced agentic capabilities to production.
• Enable enterprise customers to leverage powerful, resilient, and safely governed AI agents to drive 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.
• Strong technical ability with intelligent automation, generative AI, and agentic system design.
• 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 vector databases, RAG systems, graph-based memory, and NLP frameworks.
• 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.

Culture & Benefits

• People-first culture with a flexible work model.
• Focus on well-being and diversity, equity, and inclusion.
• Comprehensive benefits programs including healthcare, life, and disability insurance plans.
• 401(k)-retirement savings plan.
• Time-off programs.