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AI Systems Engineer

8 - 10 years

0 Lacs

Posted:14 hours ago| Platform: Linkedin logo

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Work Mode

Remote

Job Type

Contractual

Job Description

Job Title: AI Systems Engineer

Experience: 8 - 10 Years

Location: Remote

Work Time: IST Shift

Contract Duration: Short Term



We are seeking a highly skilled Software Engineer with 8–10 years of experience in software engineering, ideally in individual contributor or staff-level roles. The ideal candidate should demonstrate a strong execution mindset, blending expertise in frontend (React, TypeScript, Next.js), backend (Python, Flask), and systems (Kubernetes, scalable microservices, distributed architecture). Familiarity with modern AI/ML tooling such as PyTorch, LangChain, and LLM frameworks is essential. The role requires hands-on coding, architectural leadership, and a bias toward rapid, impactful problem-solving in a startup-style environment.


Responsibilities


  • Design, develop, and deploy scalable frontend and backend components
  • Build and maintain distributed microservices in a cloud-native environment
  • Collaborate with AI/ML teams to integrate models and tooling into applications
  • Write high-quality, maintainable, and well-documented code
  • Contribute to architecture discussions and create design documentation
  • Ensure performance, security, and reliability of systems
  • Continuously explore and implement cutting-edge AI tools and frameworks


Skills & Requirements


  • 8–10 years of experience in software engineering in IC or Staff-level roles (not people management roles)
  • Proven ability to execute with a startup-style mindset and bias toward solving real problems
  • Hands-on experience with frontend technologies like React, TypeScript, and Next.js
  • Backend development using Python and Flask
  • Strong systems and infrastructure experience including Kubernetes, scalable microservices, and distributed systems
  • Comfortable creating and maintaining architectural and design documentation
  • Experience working with modern AI/ML tooling such as PyTorch, LangChain, Transformers, and multi-agent frameworks
  • Familiarity with LLM development and AI developer tools (e.g., Cursor) is an advantage

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