обновлено 6 дней назад
Staff System Engineer (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Staff System Engineer (AI): Building a responsive agentic operations platform, scalable APIs, backend services, and domain-specific small language models with an accent on model fine-tuning, low-latency inference, reliability, and automation. Focus on designing inference pipelines, optimizing AI models for edge deployments, developing secure APIs, and ensuring high availability across cloud and infrastructure environments.
Location: Bengaluru, India; hybrid work model
Company
is a large global public e-commerce company building technology-enabled shopping, eating, and lifestyle services.
What you will do
- Build and maintain a modern, responsive, high-performance agentic operations platform.
- Design, develop, fine-tune, and optimize small language models for domain-specific and enterprise applications.
- Build inference pipelines, evaluate model performance, and optimize models for low-latency inference and edge deployments.
- Develop scalable RESTful APIs and backend services, including secure third-party integrations.
- Design and maintain relational and NoSQL databases while implementing authentication and authorization.
- Improve availability, fault tolerance, monitoring, documentation, experiment tracking, and model governance.
Requirements
- Bachelor’s or master’s degree with 7+ years of total experience.
- Strong Python, React, Node, Next.js, JavaScript, HTML5, CSS3, and modern frontend framework skills.
- Experience with component lifecycle, hooks, state management, Git, REST APIs, Webpack, and CI/CD pipelines.
- Strong understanding of API design, data modelling, error handling, and monitoring with Prometheus and Grafana.
- Expertise in Ansible, Terraform, shell scripting, and databases such as PostgreSQL, MySQL, or MongoDB.
- Ability to work in a hybrid role based in Bengaluru, India.
Nice to have
- Experience with AWS, configuration management, and CI/CD practices.
- Familiarity with RabbitMQ or Kafka, Docker, and API tools.
Culture & Benefits
- Startup culture combined with the resources of a large global public company.
- Opportunities to drive new initiatives and innovations in e-commerce technology.
- Preferential employment treatment may apply to eligible protected groups in accordance with applicable laws.
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