Lead Software Engineer ? Voice AI/Agent

Job Description

Job ID: Lea-ETP-Pun-1167 Location: Pune About Us We?re building the next generation of agentic AI platforms?voice-first, adaptive, and outcome-driven. Our platform-as-a-service (PaaS) solution enables businesses to deploy intelligent, autonomous agents that drive real value through voice-enabled interfaces. We?re seeking a visionary Lead Software Engineer to guide our technical strategy and help build systems that scale with performance and precision. Role Overview As a Lead Software Engineer , you will drive the development and delivery of core components in our agentic AI platform. You will play a hands-on leadership role in designing, building, and optimizing voice agent technologies, while fostering a high-performance engineering culture focused on delivering measurable business outcomes. This is a high-impact role that requires technical depth, leadership, and a bias for action. Key Responsibilities Lead architecture and full-stack development of PaaS solutions in the agentic AI and voice agent space. Collaborate cross-functionally with product, design, and business teams to define and deliver strategic initiatives. Drive hands-on development, including writing and reviewing code across the stack?from backend services to voice interface integrations. Champion CI/CD best practices and modern DevOps workflows to ensure rapid, reliable, and secure deployment cycles. Identify and integrate emerging technologies, especially generative AI, as accelerators for product development and quality assurance. Mentor and inspire engineers to reach high standards of performance, ownership, and technical excellence. Ensure that all solutions are scalable, maintainable, and aligned with business goals and user needs. Required Qualifications 8+ years of experience in software engineering, with at least 3 years in a technical leadership or team lead role. Proven track record of delivering PaaS solutions in the agentic AI or voice AI domain. Deep expertise in voice agent technologies (e.g., ASR, TTS, NLU/NLP systems, conversational AI frameworks). Demonstrated success in driving projects that resulted in clear and measurable business outcomes. Strong proficiency in full-stack development (e.g., Node.js, Python, React, TypeScript, etc.). Experience building and maintaining robust CI/CD pipelines (e.g., GitHub Actions, Jenkins, CircleCI). Hands-on experience leveraging generative AI tools (e.g., LLMs, code generation, prompt engineering) to enhance engineering velocity. Excellent communication, collaboration, and team-building skills. Preferred Qualifications Experience with cloud-native architectures (AWS, GCP, or Azure). Familiarity with real-time systems, WebRTC, or telephony integrations (e.g., Twilio, SIP). Background in human-computer interaction, applied ML/AI, or systems for autonomous agents. Startup or high-growth environment experience.