Staff Software Engineer

Job Description:

About Uniphore

At Uniphore, we are transforming customer experiences by leveraging advanced AI, machine learning, and automation technologies. Our solutions in conversational AI, speech analytics, and customer service automation allow organizations to enhance their customer interactions and streamline operations. Join Uniphore and be part of a cutting-edge team shaping the future of human-AI interaction.

Job Overview

As a Staff Software Engineer at Uniphore, you will be integral to the development and enhancement of AI-driven solutions that are at the core of our product offerings. You will collaborate with cross-functional teams of AI researchers, data scientists, and product managers to build scalable, reliable, and high-performance software systems that power real-time conversational AI and speech analytics platforms.

Key Responsibilities

• Design, develop, and implement high-quality, scalable software solutions for AI-driven applications, including conversational AI, speech analytics, and automation tools.
• Collaborate with AI/ML teams to integrate machine learning models into production systems and optimize for real-time performance and scalability.
• Write clean, maintainable, and efficient code, ensuring alignment with best practices in software engineering and AI systems development.
• Develop APIs and microservices to support seamless integration between AI models and front-end applications.
• Implement and maintain CI/CD pipelines, ensuring smooth deployment and version control for AI models and related software components.
• Troubleshoot, debug, and optimize existing software to improve performance, reliability, and scalability in a cloud-based environment.
• Participate in the full software development lifecycle, including requirements gathering, design, testing, and release.
• Collaborate with cross-functional teams (AI/ML, product, UX) to translate business and customer needs into technical solutions.
• Ensure adherence to security and data privacy standards in AI-driven applications, particularly when handling sensitive customer data.
• Stay up-to-date with the latest advancements in AI, cloud computing, and software development, and contribute to continuous improvement efforts within the team.

Required Qualifications

• 6- 8 years of experience in engineering roles.
• Bachelor's or Masters degree in Computer Science, Computer Engineering, or a software programming-related field.
• Experience in development using Java, JavaScript, or Go to create operational and hyper-scale applications running on the cloud.
• Execute in a cloud-native environment using services like distributed cache, load balancers, messaging frameworks, relational databases, and uber-scale NoSQL databases or columnar data stores.
• Knowledge of Docker and Kubernetes deployments.
• Proficiency in SQL, REST, Redis, Tomcat, and the AWS stack is highly desirable.
• Experience with Spring Boot, Hibernate, and Gradle is a great plus.
• Ability to think at scale and solve big performance problems.
• Obsession with quality.
• Hands-on experience with big data technologies like Spark, Cassandra, Kafka, and Prometheus is highly desirable.
• AI/ML experience will be a plus.
• You are a tinkerer, have a creative mind, and a keen ability and initiative to think beyond” — aka a “startup mindset.”