Job Title

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 literatureA supportive thriving environmentTeam willing to listenWork flexibility as long as the job gets done & the scale of engagement/impact growsA long term growth trajectory tied to company growth