Staff Software Engineer

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.