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Mid-level AI engineer, metro location, and broad AI/backend/full-stack requirements increase candidate competition.
Core AI engineering skills transfer across industries, but platform and domain specifics moderately constrain fit.
Explicit 3+ years and mandatory AI, production, and security skills make filtering highly strict.
Develop and maintain AI-enabled platform capabilities, APIs, and reusable software enhancements for scalable, multi-customer implementations.
Collaborate with cross-functional teams including Product leadership, Solution Engineering, and Platform Reliability to translate requirements into production-ready AI-enabled software.
Build secure, scalable backend services using Python, JavaScript, and Node.js, focusing on AI integration, prompt engineering, retrieval, and agent configurations.
Bachelor's or Master's degree in Computer Science, Engineering, Data Science, Information Systems, or related field, or equivalent experience.
3+ years of experience developing production software, APIs, services, or AI-enabled platform features.
Strong programming skills in Python, JavaScript, and Node.js; experience with AI technologies such as LLMs, prompt engineering, and model integration.
Role based in Chennai, India; compliance with internal security standards including SOC 2 Type II and ISO 27001.
Experience working in product-led or platform-based organizations with reusable technical standards and prompt libraries.
Familiarity with cloud-native development and deployment in Azure, AWS, or similar environments.
Background or interest in energy, infrastructure, renewables, or technically complex industries aligned with Due Diligence, Verification & Assurance, and Renewables Certification.