Software Engineer, AI Platforms

3 weeks ago

Nadiad, India Azithropic Full time

Location: Remote eligible across India. Role can be based in Chennai, Tamil Nadu.


We are seeking a versatile and intellectually curious Software Engineer to build the core platform that powers our intelligent applications. This role is perfect for a proactive learner who is passionate about the rapidly evolving AI landscape. If you are a doer, who gets things done & envisions large scale impact, this role is for you.


You will be responsible for translating cutting-edge concepts into a scalable and resilient service layer that orchestrates requests across various machine learning models.


Key Responsibilities:
  • Design, build, and maintain a high-performance REST API gateway for our AI services.
  • Develop user interfaces and dashboards for service monitoring, configuration, and analytics.
  • Deploy and manage secure, scalable cloud infrastructure on AWS.
  • Implement robust systems for authentication, rate limiting, and request logging.
  • Not afraid to put on a new hat to help the team in uncharted territory.


Core Skills & Qualifications:
  • Versatile Engineering: Exceptional ability to learn quickly and adapt. You are a problem-solver who thrives on tackling new challenges across the entire technology stack even in a time crunch.
  • Backend Development: Proven experience building and scaling RESTful APIs using Python or another modern language (e.g., Node.js etc).
  • Frontend Development: Proficiency in building user interfaces with a modern JavaScript framework (e.g., React, Vue, Svelte).
  • AWS Infrastructure: Hands-on experience with core AWS services such as EC2, Lambda, API Gateway, IAM, and S3.
  • ML Research Experience: Academic or industry publications are a plus, but not mandatory.
  • Speed in implementation/debugging; Truly cares about the ML innovation; Ability to identify personal skillset gaps and learning them at a high-pace.


Preferred Qualifications:
  • Infrastructure as Code: Strong preference for experience with Terraform.
  • AI/ML Acumen: A demonstrated interest and ability to read and understand state-of-the-art research papers in AI/ML.
  • Containerization: Familiarity with Docker and/or Kubernetes.


We will provide:
  • Freedom to Contribute to Research literature
  • A supportive thriving environment
  • Team willing to listen
  • Work flexibility as long as the job gets done & the scale of engagement/impact grows
  • A long term growth trajectory tied to company growth


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