Staff Software Engineer

Posted 24 Days Ago
Be an Early Applicant
2 Locations
In-Office
Senior level
Artificial Intelligence • Machine Learning
The Role
Design, develop, and enhance AI-driven software solutions. Collaborate with AI researchers and product managers to build scalable systems and integrate machine learning models for speech analytics and conversational AI applications.
Summary Generated by Built In

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:

India - Bangalore, India - Chennai


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

AWS
Cassandra
Docker
Go
Gradle
Hibernate
Java
JavaScript
Kafka
Kubernetes
Prometheus
Redis
Rest
Spark
Spring Boot
SQL
Tomcat
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The Company
Bengaluru, Karnataka
465 Employees
Year Founded: 2008

What We Do

Uniphore is the global leader in Conversational Service Automation (CSA), which combines the power of artificial intelligence, automation technology and machine learning. Uniphore is disrupting an outdated customer service model and bridging the gap between humans and machines by focusing on conversations. We make it possible for every voice, on every call, to be truly heard.

Uniphore Offices

OnSite Workspace

Typical time on-site: None
Bengaluru, Karnataka
Palo Alto, CA
Learn more

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