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2 дня назад

Senior AI Engineer

Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Philippines
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Senior AI Engineer (LLMs/Agentic Systems): Designing and deploying AI agents, enterprise integrations, and scalable agentic workflows with an accent on prompt engineering, AI architecture, and output quality. Focus on implementing MCP servers, testing AI-generated code and documentation, measuring business impact, and mentoring engineers on LLM and AI practices.

Location: Manila, Philippines

Company

hirify.global is a digital-first financial services company providing technology-driven banking and financial tools for individuals, small businesses, and companies.

What you will do

  • Lead the architecture, design, and deployment of AI agents for critical business domains.
  • Develop prompts, system designs, AI skills, and plugins while establishing prompt engineering best practices.
  • Architect integrations between AI systems and internal platforms, including Model Context Protocol servers and enterprise data integration patterns.
  • Design testing and validation strategies for AI-generated code and documentation, and analyze model outputs to improve quality.
  • Define KPIs and ROI metrics, report business impact, and identify automation opportunities with software teams.
  • Lead proofs of concept, document AI workflows, gather requirements, and mentor junior engineers.

Requirements

  • 3–7 years of professional experience in software development and/or AI/ML engineering.
  • Strong software development foundation in Python, JavaScript, and .NET, with knowledge of code quality, testing, and architectural patterns.
  • Experience leading technical initiatives or mentoring engineers.
  • Bachelor’s degree in Computer Science, Information Technology, Mathematics, or a related discipline, or equivalent expertise.
  • Strong communication skills for explaining AI concepts to technical and non-technical stakeholders.
  • Sound judgment regarding AI ethics, guardrails, and responsible AI practices.

Nice to have

  • 2+ years of hands-on experience with large language models and prompt engineering.
  • Experience designing and deploying agentic systems, workflow automation, REST or GraphQL integrations, and enterprise integration patterns.
  • Experience with CI/CD pipelines, GitHub Actions, automated testing, software quality metrics, and code review standards.
  • Production experience in banking, financial services, or other regulated industries.
  • Experience with Qdrant, Databricks, or enterprise data engineering and analytics platforms.

Culture & Benefits

  • Work in a digital-first financial services environment focused on technology-driven solutions.
  • Collaborate across software and business teams on enterprise AI adoption.
  • Offers are contingent on successful credit, criminal background, medical, and drug screening.
  • Reasonable accommodations are available for employees with disabilities.

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