Fullstack Engineer (AI Systems)

TL;DR

Fullstack Engineer (AI Systems): Building the product layer for a proactive AI smart assistant with an accent on reliable agent workflows, long-running tasks, and LLM integrations. Focus on designing failure recovery mechanisms, reducing latency for real-time AI interactions, and creating production-grade AI-native features.

Location: Remote (Ireland)

Company

hirify.global is building a proactive smart assistant designed to bring intelligence to everyday conversations, errands, and workflows with minimal prompting.

What you will do

• Develop end-to-end product features across frontend, backend, and AI integrations.
• Design agent workflows capable of planning, tool use, and recovery across multiple steps.
• Integrate LLMs, memory, and external tools into reliable production systems.
• Build real-time AI interactions with streaming and tight latency constraints.
• Improve system reliability, observability, and fallback mechanisms for LLM failures.
• Collaborate with ML and product teams to iterate based on real usage and failure modes.

Requirements

• Strong experience in full stack engineering (frontend and backend).
• Solid understanding of system design and API architecture.
• Experience working with LLMs, RAG systems, or AI-powered applications.
• Ability to handle ambiguity and make pragmatic engineering decisions.
• Strong ownership and ability to take features from idea to production.
• Comfort working in fast-moving environments with evolving requirements.

Nice to have

• Experience with Next.js, Python, and NodeJs.
• Knowledge of Pytorch and various LLMs (OpenAI, Anthropic, open-source).
• Proficiency with SQL, noSQL, Kubernetes, and Docker.

Culture & Benefits

• Work within a high-talent density, hands-on team.
• Collaborative decision-making process with a rapid shipping cycle.
• Focus on balancing high-quality work with continuous learning.
• Opportunity to build a "magical" product that benefits billions of users globally.

Hiring process

• Technical evaluation of applications by team members.
• A series of 3 to 4 interviews conducted via virtual meetings or onsite.
• Prompt decision-making process based on transparency and efficiency.