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:
As a Software Engineer at Uniphore, you will be integral to the development and enhancement of data platform and data agents that are at the core of our product offerings. You will collaborate with cross-functional teams of engineers, and product managers to build scalable, reliable, and high-performance software systems.What You'll Do
- Design, develop and implement AI applications, staying updated on advancements in AI technology, and contributing to the company's AI strategy.
- Design and implement applications using BigData technologies..
- Design and implement distributed applications using cloud specific services.
- Implement Hybrid cloud approaches to handle data synchronization in between on-premises and on cloud.
- Implement an elastic and serverless platform for data warehousing, which can work seamlessly on different clouds.
- Bachelor's or Master's degree in Computer Science, Information Technology, or equivalent.
- 1-3 years of experience in Software Development
- Strong expertise in Spark, Java/Python, and API code development
- Experience with cloud platforms like AWS, GCP, or Azure
- Experience with databases like Postgres, MongoDB, or MySQL.
- Strong problem solving and programming skills
- Excellent oral and written communication skills
- Motivated towards working in a startup environment
- 1+ years working on scalable distributed systems
- Experience with developing software using a broad range of data source connectors, including JDBC, TPT, RestAPI, Kafka
- Experience with BigData technologies like Spark etc..
- Experience with Cloud Data Warehouses like Snowflake or BigQuery.
- Experience building AI-powered applications using Python
- Understanding of machine learning lifecycle: data ingestion, training, fine-tuning, evaluation, and deployment.
- Eexperience with agentic frameworks such as: LangChain, AutoGPT, CrewAI, MetaGPT, LangGraph, or similar.
- Working knowledge of Kubernetes (K8s)
- Hands-on experience or familiarity with cloud platforms such as AWS, Azure, or GCP
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.
Skills Required
- Bachelor's or Master's degree in Computer Science or equivalent
- 1-3 years of experience in Software Development
- Strong expertise in Spark, Java/Python, and API code development
- Experience with cloud platforms like AWS, GCP, or Azure
- Experience with databases like Postgres, MongoDB, or MySQL
Uniphore Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Uniphore and has not been reviewed or approved by Uniphore.
-
Healthcare Strength — Health coverage includes medical, dental, vision, mental‑health resources, and wellness programs, with multiple plan options (including HSA/FSA) indicating robust depth. Plan quality and affordability are highlighted relative to peers.
-
Leave & Time Off Breadth — Time off includes generous PTO, paid holidays, and a paid birthday day off. Enhanced parental, caregiver, and bereavement leave extend coverage beyond standard policies.
-
Retirement Support — Retirement offerings include a U.S. 401(k) with company match and pension/retirement plans with employer contributions in many countries. These programs support longer‑term financial security alongside core pay.
Uniphore Insights
What We Do
The Business AI Cloud is the only sovereign, composable and secure AI platform that enables businesses to rapidly adopt, significantly transform and immediately unlock the value of their data. Trusted by more than 2,500 of the world’s largest enterprises and recognized by Gartner, Forrester, IDC and the Deloitte Fast 500, Uniphore is where enterprise AI moves from ambitions to production. 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.
