AI Software Engineer

Accountabilities: You will contribute to the development and continuous improvement of AI-powered services and intelligent automation capabilities, ensuring that solutions are scalable, secure, accurate, and aligned with customer needs. Your responsibilities will span AI agent development, backend architecture, model evaluation, and production operations. Design, build, deploy, and manage intelligent AI agents using modern agentic technologies, ensuring reliable performance within clearly defined constraints and safety guardrails. Develop, maintain, and optimize complex Retrieval-Augmented Generation (RAG) pipelines, improving retrieval recall, precision, and overall response quality. Collaborate with product managers to translate industry requirements and business needs into detailed technical specifications, applying spec-driven development practices. Integrate foundation models through APIs to support use cases such as document summarization, intelligent search, and automated workflows. Design and implement evaluation frameworks and testing patterns to measure AI model and agent performance, identify weaknesses, and continuously improve outputs. Build and maintain robust backend architecture using PostgreSQL, REST APIs, asynchronous processing, queueing systems, storage solutions, role-based access control (RBAC), encryption, and security practices. Develop automated tests and maintain effective version control and collaborative development workflows using GitHub. Implement monitoring systems, operational metrics, and health checks to ensure the reliability and performance of AI-powered services. Stay informed about emerging AI technologies, agentic architectures, and engineering practices to continuously improve product capabilities. Requirements : The ideal candidate combines strong software engineering expertise with hands-on experience developing and deploying production-grade AI applications. You should have a deep understanding of agentic systems, AI evaluation methodologies, and backend architecture, together with the ability to deliver reliable, customer-focused solutions in a fast-paced environment. At least 4 years of professional software engineering experience, including 18 months or more working directly on AI-powered features, applications, or agents. Deep, practical experience using Claude Code. Hands-on experience building and deploying AI applications and integrating LLM-powered features into production environments. Proven ability to design, build, and manage AI agents, with a strong understanding of agentic technologies, operational constraints, and safety guardrails. Strong knowledge of AI agent evaluation methodologies, including recall and precision metrics, evaluation design patterns, and output quality measurement. Solid backend development expertise, particularly with PostgreSQL and asynchronous programming. Experience with one or more programming languages such as Node.js, TypeScript, Python, Go, or Java. Familiarity with GitHub, codebase management, version control, and collaborative software development workflows. Experience designing and integrating REST APIs using JSON and building scalable, reliable, and maintainable software. Familiarity with cloud platforms such as Microsoft Azure and/or AWS, including deployment, debugging, and production operations. Bachelor's degree in Computer Science, Mathematics, or a related technical discipline. Strong problem-solving, communication, and collaboration skills, with the ability to work closely with product and engineering stakeholders. Passion for AI innovation, continuous learning, and building intelligent solutions that deliver measurable customer value. Benefits : Fully remote working arrangement from anywhere in India. Annual compensation ranging from ₹2,137,000 to ₹3,000,000. Equity opportunities. Annual compensation reviews. Flexible paid time off to support rest and work-life balance. Opportunity to work on advanced AI applications, intelligent agents, and production-grade generative AI solutions. Collaborative engineering environment with opportunities to influence product direction and technical decisions. Professional development and opportunities to explore different career paths and internal mobility. Flexible work arrangements, with availability required during afternoon and evening hours in India Standard Time to support collaboration with distributed engineering teams.