Software Engineer - Voice & Conversational AI - Remote

Overview

We are hiring skilled engineers to help build our next-generation voice/text conversational AI application. You will work on projects critical to TrueLark’s growth, with opportunities to innovate and shape the future of voice-first AI systems. This role requires strong backend engineering expertise, hands-on experience with voice APIs, and the ability to design scalable, event-driven systems that integrate conversational AI, real-time voice, and robust APIs.

In Short

• This position will be hybrid (remote/in office in Bangalore, India)
• Reports to: CTO
• Design, develop, and maintain Python-based APIs, services, and event-driven backends.
• Build and integrate real-time voice workflows with STT/TTS APIs, webhooks, and telephony platforms (e.g., Twilio).
• Architect and manage databases including schema design, SQL scripting, and integration with message queues.
• Work on AI/LLM integration for conversational agents, context management, and workflow orchestration.
• Design and implement robust RESTful APIs with retry logic, error handling, and monitoring.
• Debug, troubleshoot, and optimize complex distributed systems with high attention to detail.
• Collaborate across teams to deliver high-quality software in a fast-paced environment.
• Continuously evaluate and propose new technologies and improvements.

Requirements

• Bachelor’s degree in Computer Science or related field.
• 3+ years of backend development experience with Python and Java.
• Strong expertise in API development (FastAPI preferred), webhook handling, and business logic orchestration.
• Proven experience with real-time voice/telephony APIs (e.g., Twilio), STT/TTS integration, and webhook workflows.
• Solid knowledge of databases (SQL, schema design) and message queues.
• Proficiency in Data Structures, Algorithms, and OOP/SOLID principles.
• Hands-on experience with Docker, Git, and CI/CD pipelines.
• Familiarity with cloud platforms (Azure/GCP) for scalable deployments.
• Strong debugging, problem-solving, and analytical skills.
• Ability to work independently and collaboratively in a team.

Benefits

• Experience with Conversational AI, LLMs, Deep Learning, or NLP.
• Previous work on chatbots, voice assistants, or real-time conversational systems.
• Hands-on experience with PipeCat or similar frameworks.
• Strong background in event-driven architecture and production-grade error handling/retry logic.
• Contributions to open-source projects or relevant portfolio work.
• Excellent communication skills to interact with both technical and non-technical stakeholders.