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В Company hidden чётко очерчена руководящая роль в крупном продуктовом бизнесе с практической работой над генеративным ИИ; главный компромисс - обязательная работа из офиса пять дней в неделю.
Офис каждый день
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ИИ в реальных продуктах
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Текст:
Hirify AI/Оригинал
TL;DR
Software Engineering Manager II (AI) (LLM and Generative AI): Leading the development and operation of critical fulfilment capabilities that connect demand with supply across Grab’s services with an accent on scalable backend systems, AI solution integration, and engineering reliability. Focus on evaluating LLMs, designing retrieval-augmented generation systems, managing AI risks, and guiding architecture, delivery, and team development.
hirify.global is Southeast Asia’s leading superapp, providing food delivery, mobility, financial, and other consumer services through technology and AI.
What you will do
Lead, coach, and develop a team of software engineers, including setting expectations and growth plans.
Partner with Product, Data Science, Analytics, and Operations to define priorities, roadmaps, and measurable outcomes.
Own engineering roadmap planning and delivery while managing dependencies and risks.
Work with senior engineers on technical direction, architecture, and engineering trade-offs.
Improve the reliability, scalability, security, observability, and cost efficiency of team-owned systems.
Establish engineering practices for design reviews, testing, deployment, incident response, continuous improvement, hiring, and talent development.
Requirements
At least eight years of software engineering experience, including designing and operating production systems at scale.
At least two years of experience managing and developing software engineers.
Hands-on experience building or integrating LLM and generative AI solutions, including model evaluation, prompt design, retrieval-augmented generation, and production monitoring.
Understanding of AI risks including hallucinations, data privacy, security, reliability, latency, and cost.
Strong foundation in backend engineering, distributed systems, APIs, databases, and cloud infrastructure.
Experience delivering complex initiatives involving multiple teams and stakeholders.
Experience coaching engineers, managing performance, and supporting career development.
Sound judgement in balancing product delivery, engineering quality, reliability, and long-term maintainability.
Strong written and verbal communication skills, including explaining technical and AI trade-offs to technical and non-technical stakeholders.
Culture & Benefits
Work with Product, Data Science, Analytics, Operations, and engineering teams on fulfilment technology supporting millions of transactions across Southeast Asia.
Build an inclusive environment based on clarity, psychological safety, and meaningful ownership.
Support the mission of economically empowering people across Southeast Asia through technology and AI.
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