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, Technology, Enterprise SoftwareIndustries

Requirements

Bachelor's or Master's degree in Computer Science, Information Technology, or equivalent
5-7 years of software development experience
Strong proficiency in Java, Python, and API development
Experience with frameworks such as Spring Boot or Vertx
Expertise in databases like Postgres, MongoDB, or MySQL
Experience with cloud platforms like AWS, GCP, or Azure
Exceptional problem-solving abilities and programming skills
Familiarity with software engineering best practices including version control, code review, and test-driven architecture
Excellent verbal and written communication skills
Motivated to thrive in a startup environment
Preferred Skills
Proficiency in Spark or Managed Spark like Dataproc and Databricks
Familiarity with Airflow
Familiarity with Cloud Data Warehouses like Snowflake or BigQuery
Familiarity with Javascript or Typescript
Familiarity with containers and Kubernetes
Proficiency in DevOps tools like Jenkins and CI/CD workflows
Knowledge of basic Linux commands
Previous experience in AI research, development, or implementation projects

Responsibilities

Create a scalable and robust platform for data engineering across multiple cloud providers
Design and implement applications leveraging distributed technologies like Spark, Databricks, and BigQuery
Design, develop, and implement AI applications, staying updated on advancements in AI technology, and contributing to the company's AI strategy
Write clean, maintainable, and efficient code, ensuring alignment with best practices in software engineering
Participate in the full software development lifecycle, including requirements gathering, design, testing, and release
Troubleshoot, debug, and optimize existing software to improve performance, reliability, and scalability in a cloud-based environment
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
Implement and maintain CI/CD pipelines, ensuring smooth deployment and version control for software components

Skills

Spark

Databricks

BigQuery

Generative AI

Distributed Systems

Cloud Providers

Software Engineering

Data Engineering

Software Development Lifecycle

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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