13 часов 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 high-performance agentic operations platform, scalable APIs, backend services, and domain-specific small language models with an accent on model fine-tuning, low-latency inference, and platform reliability. Focus on developing inference pipelines, optimizing models for edge deployments, designing secure APIs, and ensuring high availability across cloud and infrastructure environments.
Location: Hybrid in Bengaluru, India
Company
is a fast-growing e-commerce company building digital commerce services and AI-powered enterprise solutions.
What you will do
- Build and maintain a modern, responsive, high-performance agentic operations platform.
- Design, develop, fine-tune, and optimize domain-specific small language models for enterprise applications.
- Build inference pipelines, evaluate model performance, and optimize models for low-latency inference and edge deployments.
- Monitor, benchmark, and improve model efficiency, accuracy, scalability, and reliability.
- Build scalable RESTful APIs and backend services, including secure third-party integrations.
- Design databases and implement authentication, authorization, fault tolerance, and high availability.
Requirements
- Bachelor’s or master’s degree with 7+ years of total experience.
- Strong Python, React, Node, and Next skills, including component lifecycle, hooks, and state management.
- Proficiency in HTML5, CSS3, JavaScript, modern frameworks, Git, REST APIs, Webpack, and CI/CD pipelines.
- Strong understanding of API design, data modeling, and error handling.
- Experience with Prometheus, Grafana, Ansible, Terraform, and shell scripting.
- Proficiency with PostgreSQL, MySQL, or MongoDB.
Nice to have
- Knowledge of CI/CD, configuration management, and AWS or other cloud platforms.
- Familiarity with RabbitMQ or Kafka.
- Experience with Docker and API tools.
Culture & Benefits
- Startup culture combined with the resources of a large global public company.
- Opportunities to drive new initiatives and develop innovative services.
- Hybrid work model.
- Employment protections and legally applicable preferential treatment may apply to eligible candidates.
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