Uniphore is one of the largest B2B AI-native companies—decades-proven, built-for-scale and designed for the enterprise. The company drives business outcomes, across multiple industry verticals, and enables the largest global deployments.
Uniphore infuses AI into every part of the enterprise that impacts the customer. We deliver the only multimodal architecture centered on customers that combines Generative AI, Knowledge AI, Emotion AI, workflow automation and a co-pilot to guide you. We understand better than anyone how to capture voice, video and text and how to analyze all types of data.
As AI becomes more powerful, every part of the enterprise that impacts the customer will be disrupted. We believe the future will run on the connective tissue between people, machines and data: all in the service of creating the most human processes and experiences for customers and employees.
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 Master’s 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.”
Location preference:
Uniphore is an equal opportunity employer committed to diversity in the workplace. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, disability, veteran status, and other protected characteristics.
For more information on how Uniphore uses AI to unify—and humanize—every enterprise experience, please visit www.uniphore.com.
Top Skills
What We Do
The Uniphore Business AI Cloud spans agents, models, knowledge, and data, combining the simplicity of consumer AI with the rigor, security, and scalability the enterprise demands. Business users can harness AI effortlessly and deliver outcomes immediately, while CIOs gain the foundation to build powerful AI applications embedded into workflows and trained on enterprise data. Built for the Enterprise, backed by AI Leaders Backed by NVIDIA, AMD, Snowflake, and Databricks, Uniphore brings a unique combination of capital and strategic alignment — validating its position as the definitive Business AI leader. Recent acquisitions of ActionIQ, Infoworks, Orby AI, and Autonom8 further cement Uniphore's AI talent depth and accelerate outcomes for clients. A Complete, Composable Platform Uniphore is designed to be: Sovereign — run on any public cloud, private cloud or on-premises with full control over your data and AI models. Composable — choose your layer, model, or component—vector DBs, knowledge graphs, data compute, and beyond. Secure — embedded guardrails, observability, and AI security ensure trusted, compliant, and enterprise-grade protection. Trusted at Scale Over 2,000 global businesses — including many of the Fortune 500 — rely on Uniphore every day to drive growth, improve efficiency, and deliver personalized customer experiences. Customers include leaders across industries, like Skechers, LastPass, Atlassian, HP, Allstate, Sony, and more. Industry Recognition Named to Inc.'s Best in Business List Listed on the Deloitte Technology Fast 500 Recognized in reports by Gartner, Forrester, and IDC From Pilot to Production Through strategic collaborations with industry leaders like KPMG, Cognizant, Rackspace, Databricks and Snowflake, Uniphore helps organizations move beyond experimental AI pilots to production-grade deployment — operationalizing AI agents across internal and client-facing workflows at scale.
