The Role
Lead design and development of scalable Java microservices for conversational AI. Architect backend APIs, optimize distributed systems, integrate LLMs/NLP, implement real-time messaging, database tuning, cloud/container deployments, CI/CD improvements, security practices, and mentor junior engineers while collaborating across product and operations teams.
Summary Generated by Built In
Your Career, our Future—Together.
Ready to join something big? At SoundHound AI, we bring voice, generative, and conversational AI together to transform how people interact with products and services. From voice-enabled vehicles to food ordering and customer support, our multilingual, omnichannel technology already impacts hundreds of millions worldwide.
The Senior Software Engineer plays a crucial role in the Amelia Enterprise Conversational AI Engineering team, leading the design, development, and optimization of key components within our AI-driven platform. This role requires strong expertise in Java, distributed systems, microservices, and cloud computing, with an ability to solve complex technical challenges, drive architectural decisions, and mentor junior engineers.
As a technical leader, you will work closely with cross-functional teams to enhance the platform’s scalability, security, and real-time AI processing capabilities. You will also contribute to integrating Conversational AI, LLMs, NLP algorithms, and real-time processing mechanisms into our system.
What You'll Do- Lead Software Development: Architect, develop, and optimize high-performance, scalable microservices and backend APIs using Java, Spring Framework, Hibernate, and MySQL.
- Technical Leadership: Provide mentorship and guidance to junior and mid-level engineers, enforcing best coding practices, design patterns, and architectural principles.
- Scalability & Performance Optimization: Identify and resolve performance bottlenecks in distributed, high-traffic environments using caching (Redis), database tuning, and asynchronous processing techniques.
- Cloud & Containerization: Design and deploy cloud-native applications using Docker, Kubernetes, and cloud platforms (AWS, GCP, Azure, OCI), ensuring high availability and reliability.
- AI & NLP Integration: Work with Machine Learning, LLMs, NLP algorithms, and process engines to improve conversational AI capabilities.
- WebSockets & Real-Time Communication: Enhance real-time messaging and event-driven architectures, ensuring low-latency, high-throughput interactions.
- Database Management: Design and optimize complex database schemas and queries for MySQL and Redis.
- Security & Compliance: Implement secure coding practices, authentication mechanisms, and enterprise-grade security protocols.
- Continuous Improvement & Automation: Drive CI/CD improvements, DevOps best practices, and automation initiatives to streamline deployments.
- Agile & Cross-Team Collaboration: Work closely with Product Management, DevOps, QA, and other engineering teams to deliver high-quality features within Agile workflows.
- Architectural Decision-Making: Contribute to long-term architecture and technical strategy, ensuring system resilience, scalability, and maintainability.
- 6+ years of professional experience in Java software development.
- Strong expertise in Java, Spring Framework, Hibernate, and RESTful API design.
- Experience with AI/ML, NLP, and Large Language Models (LLMs).
- Proven experience with microservices architecture and distributed systems.
- Hands-on experience with databases (MySQL, Redis), query optimization, and schema design.
- Strong knowledge of cloud computing (AWS, GCP, Azure, OCI) and containerization (Docker, Kubernetes).
- Experience with real-time messaging systems (WebSockets, Kafka, RabbitMQ, or similar technologies).
- Strong problem-solving skills, debugging expertise, and ability to troubleshoot complex distributed applications.
- Excellent understanding of system design, scalability, and performance tuning techniques.
- Strong knowledge of CI/CD pipelines (Maven, Gradle, Bamboo, Jenkins).
- Familiarity with Agile methodologies (Scrum/Kanban) and DevOps best practices.
- Experience working with Unix-like operating systems.
- Familiarity with graph algorithms, process engines, and enterprise AI architectures.
- Understanding of security best practices and authentication mechanisms (OAuth, SAML, JWT, etc.).
- Exposure to frontend technologies (React, JavaScript, TypeScript) for full-stack contributions.
- Contributions to open-source projects or research in AI/ML, cloud computing, or distributed systems.
General Requirements
- Proactive and results-driven, with a strong sense of ownership and accountability.
- Excellent communication and collaboration skills, with experience working in globally distributed teams.
- Ability to balance hands-on coding with architectural decision-making.
- Strong technical leadership, with experience mentoring junior developers and improving team productivity.
This role is available in Bengaluru and will be hired into Amelia Global Services, a subsidiary of SoundHound AI. Our recruiting team will provide a total compensation range based on location and years of experience. #LI-VN1 #LI-HYBRID
Let's Start the ConversationJoin SoundHound AI and collaborate with colleagues worldwide who are shaping the future of voice AI. Guided by our values—supportive, open, undaunted, nimble, and determined to win—we strive to build breakthrough AI experiences together.
We provide reasonable accommodations for individuals with disabilities throughout the hiring process and employment. To view our job applicant privacy policy, please visit https://static.soundhound.com/corpus/ta/applicantprivacynotice.html.
Discover more about our philosophy, benefits, and culture at https://www.soundhound.com/careers.
***Please beware of agency recruiters falsely stating that they represent SoundHound AI on job posts. Our job post above will note if we are utilizing a specific agency to assist with the search. Our recruiters use @soundhound.com email addresses exclusively.
Skills Required
- 6+ years of professional Java software development experience
- Java
- Spring Framework
- Hibernate
- RESTful API design
- Experience with AI/ML, NLP, and Large Language Models (LLMs)
- Microservices architecture and distributed systems
- MySQL experience, query optimization, and schema design
- Redis
- Cloud computing experience (AWS, GCP, Azure, OCI)
- Containerization with Docker and orchestration with Kubernetes
- Real-time messaging systems (WebSockets, Kafka, RabbitMQ or similar)
- Strong debugging, troubleshooting, and performance tuning skills
- CI/CD pipeline experience (Maven, Gradle, Bamboo, Jenkins)
- Familiarity with Agile methodologies (Scrum/Kanban) and DevOps practices
- Experience working with Unix-like operating systems
- Familiarity with graph algorithms, process engines, and enterprise AI architectures
- Understanding of security best practices and authentication mechanisms (OAuth, SAML, JWT)
- Exposure to frontend technologies (React, JavaScript, TypeScript)
- Contributions to open-source projects or AI/ML research
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The Company
What We Do
At SoundHound Inc., we believe every brand should have a voice. As the leading innovator of conversational technologies, we’re trusted by top brands around the globe. Houndify, our independent Voice AI platform, with 70,000+ users, allows brands to create custom voice assistants that deliver results with unprecedented speed and accuracy. Our mission is to enable humans to interact with the things around them in the same way we interact with each other: by speaking naturally. We’re making that a reality through our SoundHound music discovery app and Hound voice assistant and through our strategic partnerships with brands like Mercedes-Benz, Hyundai, Deutsche Telekom, and Pandora. Today, our customized voice AI solutions allow people to talk to phones, cars, smart speakers, mobile apps, coffee machines, and every other part of the emerging ‘voice-first’ world. Our diverse team of engineers, UX/UI designers, writers, data scientists and linguists are all passionate about creating a world with more conversations. With more than 14 years of expertise in voice technology, we have hundreds of millions of end users, and a worldwide team in six countries building solutions for a voice-first world.
