TL;DR
Applied AI Engineer (AI/Agentic Workflows): Designing, building, and deploying production-grade AI agents for enterprise customers with an accent on agentic workflows powered by Large Language Models. Focus on integrating LLMs with tools, APIs, and data sources, ensuring reliability, observability, safety, and auditability.
Location: Remote (Singapore)
Company
hirify.global is a fast-growing startup training and deploying frontier AI models for developers and enterprises.
What you will do
- Turn business workflows into scalable, production-ready agentic AI systems for enterprise customers.
- Design and build LLM-powered agents that reason, plan, and act across tools and data sources with enterprise-grade reliability.
- Balance rapid iteration with enterprise requirements, evolving prototypes into stable, reusable solutions.
- Define and apply evaluation and quality standards to measure agent success, failures, and regressions.
- Debug real-world agent behavior and systematically improve prompts, workflows, tools, and guardrails.
- Contribute to shared frameworks and patterns for consistent delivery across customers.
Requirements
- Bachelor’s degree in Computer Science or a related technical field.
- Strong programming skills in Python and/or JavaScript/TypeScript.
- 3+ years of experience building and shipping production software; 2+ years working with LLMs or AI APIs.
- Hands-on experience with modern LLMs (e.g., GPT, Claude, Gemini), vector databases, and agent/orchestration frameworks (e.g., LangChain, LangGraph, LlamaIndex, or custom solutions).
- Practical experience with RAG, agent workflows, evaluation, and performance optimization.
- Strong agent design skills, including prompt engineering, tool use, multi-step agent workflows (e.g. ReAct), and failure handling.
- Strong written and verbal communication skills required.
- Ability and interest to travel up to 25%.
Nice to have
- Experience working in a fast-moving startup environment.
- Prior work delivering AI or automation solutions to enterprise customers.
- Familiarity with human-in-the-loop workflows, fine-tuning, or LLM evaluation techniques.
- Experience with cloud deployment and production operations for AI systems.
- Background in applied ML, NLP, or decision systems.
Culture & Benefits
- Open and inclusive culture and work environment.
- Work closely with a team on the cutting edge of AI research.
- Weekly lunch stipend, in-office lunches & snacks.
- Full health and dental benefits, including a separate budget to take care of your mental health.
- 100% Parental Leave top-up for up to 6 months.
- Personal enrichment benefits towards arts and culture, fitness and well-being, quality time, and workspace improvement.
- Remote-flexible, with offices in Toronto, New York, San Francisco, London and Paris, as well as a co-working stipend.
- 6 weeks of vacation (30 working days!).
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