Gen AI Software Engineer

About the Company

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.

About the Role

As a Software Engineer, you will drive the development and delivery of core components in our agentic AI platform. You will play a hands-on role in designing, building, and optimizing voice agent technologies, while fostering a high-performance engineering culture focused on delivering measurable business outcomes.

Responsibilities

• 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.

Qualifications

• 5+ years of experience in software engineering
• 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.

Preferred Skills

• 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.