Staff Software Engineer at Uniphore

Bengaluru, Karnataka, India

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Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

AI, Conversational AI, Enterprise SoftwareIndustries

Requirements

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
Experience executing 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

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

Skills

Software Engineering

Machine Learning

Conversational AI

Speech Analytics

Scalable Systems

Real-time Systems

Automation

Python

Java

Uniphore

Automates customer interactions with AI solutions

About Uniphore

Uniphore specializes in conversational AI solutions that automate and improve customer interactions. Its main products include tools for conversational automation, analytics, and virtual assistants, which help businesses enhance their customer service operations, cut costs, and boost service quality. Uniphore's technology integrates with existing customer service systems to automate routine tasks and provide real-time insights into customer interactions, making it easier for service agents to respond quickly and personally. Unlike many competitors, Uniphore has a strong focus on the financial services sector, serving notable clients like BNP Paribas Wealth Management and PNB MetLife. The company's goal is to empower businesses to leverage AI for better customer engagement and operational efficiency, generating revenue through a subscription model that allows clients to scale their usage as needed.

Palo Alto, CaliforniaHeadquarters

2008Year Founded

$592.1MTotal Funding

SERIES_ECompany Stage

Data & Analytics, AI & Machine Learning, Financial ServicesIndustries

501-1,000Employees

Benefits

Health Insurance

Dental Insurance

Vision Insurance

401(k) Company Match

401(k) Retirement Plan

Unlimited Paid Time Off

Paid Holidays

Stock Options

Risks

Integration challenges from acquisitions may disrupt existing operations and client services.

Over-reliance on new technologies like X-Stream may lead to technical failures.

Expansion into emotional AI may face ethical and privacy concerns, impacting reputation.

Differentiation

Uniphore integrates emotional AI to enhance customer interactions with emotional cues.

The company offers a Zero Data AI Cloud for secure, efficient data processing.

Uniphore's X-Stream platform accelerates RAG app development with unified knowledge architecture.

Upsides

Acquisitions of ActionIQ and Infoworks expand Uniphore's AI-powered offerings significantly.

Generative AI in U-Analyze provides deeper insights from text, voice, and video interactions.

Recognition on Deloitte Technology Fast 500 highlights Uniphore's rapid growth and innovation.

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