Senior Software Engineer - Conversational AI

Job description

Accountabilities Build and evolve AI platform capabilities: Develop and support core platform functionality, backend services, integrations, and user-facing experiences that enable reliable conversational AI and digital customer journeys. Design scalable backend systems: Architect and implement event-driven, integration-heavy services, including asynchronous pipelines, APIs, microservices, and reliable delivery patterns for downstream systems and notifications. Engineer for reliability and performance: Own production-grade behavior, proactively troubleshoot distributed systems, handle edge cases and failure scenarios, and improve application performance, scalability, and data integrity. Develop secure integrations: Build robust integrations with REST APIs, webhooks, third-party services, and other systems while applying strong validation, security, privacy, and compliance practices. Support real-time communications: Contribute to real-time multimedia and voice capabilities using technologies and protocols such as SIP, RTP/SRTP, WebRTC, and WebSockets, with LiveKit experience considered advantageous. Optimize data and infrastructure: Apply effective database design, query and index optimization, cloud-native architecture, observability, and cost-conscious engineering practices to production workloads. Drive projects cross-functionally: Partner with Product, QA, Design, and other engineering teams to translate requirements into high-quality solutions, manage roadmap initiatives, and resolve high-severity production issues. Raise engineering standards: Participate in code reviews, establish maintainable engineering patterns, improve observability and integration design, and mentor teammates on technical practices. Apply AI-assisted development: Use modern AI coding agents and development tools effectively to accelerate delivery while maintaining reliability, quality, security, and maintainability. Requirements Professional experience: 3+ years of professional experience as a Backend Software Engineer, or as a Full Stack Engineer with a strong backend focus, ideally using Python and/or TypeScript. Distributed systems: 3+ years of experience designing and building scalable APIs, microservices, distributed systems, or comparable production services. Education: Bachelor's degree in Computer Science or a related field. Software engineering: Strong ability to write clean, extensible, maintainable, and traceable code using clear boundaries and well-designed abstractions. Backend expertise: Strong understanding of backend development, asynchronous programming, concurrency, scalable services, and integration-heavy architectures. API and integration experience: Hands-on experience with REST APIs, webhooks, third-party integrations, failure handling, and complex edge cases. Computer science fundamentals: Solid knowledge of data structures, algorithms, software design, and their practical application to production systems. Cloud and operations: Familiarity with cloud-native architecture, reliability and scalability patterns, observability tools, and the use of logs, metrics, and traces to diagnose production issues. Real-time technologies: Experience with real-time multimedia or telephony/VoIP architectures and protocols such as SIP, RTP/SRTP, WebRTC, or WebSockets is highly relevant. AI and modern development: Familiarity with AI coding agents such as Claude Code, Cursor, or similar tools, and an ability to use them responsibly to build reliable software. Problem-solving and ownership: Strong debugging skills, productive autonomy, sound technical judgment, and the ability to balance delivery speed, quality, reliability, and cost under pressure. Collaboration and mindset: Excellent communication and cross-functional collaboration skills, with an ethical, user-first approach and an open, inclusive mindset. Preferred experience: Experience with real-time communication platforms such as LiveKit and optimizing applications for low-latency or real-time workloads is a plus. Benefits Fully remote: Remote work opportunity within the United States. Full-time position: Permanent full-time employment with an opportunity to contribute to large-scale AI and customer experience initiatives. Technical growth: Exposure to conversational AI, distributed systems, real-time communications, cloud-native architectures, and emerging AI development tools. Cross-functional environment: Collaboration with Product, Design, QA, and engineering teams across the software development lifecycle. Leadership opportunities: Ability to influence engineering standards, mentor teammates, and contribute to technical direction. Customer impact: Opportunity to build production AI experiences designed to improve self-service, issue resolution, and customer engagement. Compensation and benefits: The source posting does not specify a salary range or detailed employee benefits package. How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1 This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Software Engineer - Conversational AI based in United States. This is a senior engineering opportunity focused on building production-grade software that powers conversational AI and digital customer experiences. You will develop core platform capabilities, backend services, and user-facing functionality supporting AI-driven customer interactions across digital and voice channels. The role combines distributed systems engineering, real-time communications, cloud-native architecture, and AI-enabled development. You will work closely with Product, Design, QA, and engineering teams from initial planning through production support. Success in this role means delivering secure, scalable, observable, and low-latency systems that improve customer experiences at scale. You will also contribute to engineering standards, mentor peers, and help shape the technical direction of an evolving AI platform. This is a fully remote role within the United States.