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:
Job Overview
As a Staff Software Engineer at Uniphore, you will play a key role in building and evolving the data platform that powers our product offerings. You’ll work closely with engineers, product managers, and AI/ML teams to design and deliver scalable, reliable, and high-performance systems across cloud environments. You’ll also contribute to how we apply AI—especially agentic applications and retrieval-augmented generation (RAG)—to solve real customer problems.
Key Responsibilities
Build a scalable and robust data engineering platform that works across multiple cloud providers.
Design and implement applications using distributed data technologies such as Spark, Databricks, and Snowflake.
Design, develop, and ship AI-driven applications, staying current with AI advancements and contributing to the company’s AI strategy.
Develop agentic AI workflows (e.g., orchestrating tools, reasoning steps, retrieval, and actions) for enterprise-grade use cases.
Write clean, maintainable, and efficient code aligned with software engineering best practices.
Participate in the full SDLC: requirements, design, development, testing, deployment, and release.
Troubleshoot, debug, and optimize systems to improve performance, reliability, and scalability in cloud-based environments.
Collaborate with cross-functional stakeholders (AI/ML, product, UX) to translate business needs into technical solutions.
Ensure compliance with security and data privacy standards, particularly when working with sensitive customer data.
Implement and maintain CI/CD pipelines to support smooth deployments and robust version control.
Required Skills and Experience
Bachelor’s or Master’s degree in Computer Science, Information Technology, or equivalent practical experience.
5–7 years of software development experience.
Strong proficiency in Java, Python, and API development.
Experience with frameworks such as Spring Boot or Vert.x.
Strong database skills with Postgres, MongoDB, and/or MySQL.
Experience working with AWS, GCP, or Azure.
Strong problem-solving skills and ability to build systems in ambiguous environments.
Familiarity with engineering best practices: version control, code reviews, and test-driven architecture.
Excellent written and verbal communication skills.
Comfortable thriving in a fast-paced startup environment.
Preferred Skills
Hands-on experience with Spark or managed Spark platforms such as Dataproc and Databricks.
Familiarity with workflow orchestration tools like Airflow.
Experience with cloud data warehouses such as Snowflake or BigQuery.
Experience with unstructured data processing (e.g., documents, PDFs, transcripts, emails, chat logs), including extraction, normalization, enrichment, and indexing.
Experience building RAG (Retrieval-Augmented Generation) pipelines (chunking strategies, embeddings, vector databases, evaluation, prompt/guardrail patterns).
Familiarity with agenting/agentic frameworks (e.g., frameworks for tool orchestration, multi-step workflows, and autonomous task execution).
Familiarity with Javascript or Typescript.
Working knowledge of containers and Kubernetes.
Proficiency with DevOps tooling such as Jenkins and modern CI/CD workflows.
Knowledge of basic Linux commands.
Prior experience in AI research, development, or implementation projects.
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, Information Technology, or equivalent practical experience
- 5-7 years of software development experience
- Strong proficiency in Java and Python
- API development experience
- Experience with frameworks such as Spring Boot or Vert.x
- Strong database skills with Postgres, MongoDB, and/or MySQL
- Experience working with AWS, GCP, or Azure
- Familiarity with version control, code reviews, and test-driven development
- Excellent written and verbal communication skills
- Comfortable working in a fast-paced startup environment
- Hands-on experience with Spark, Databricks, or Dataproc
- Familiarity with workflow orchestration tools like Airflow
- Experience with cloud data warehouses such as Snowflake or BigQuery
- Experience with unstructured data processing (documents, transcripts, chat logs)
- Experience building RAG pipelines (chunking, embeddings, vector DBs, evaluation)
- Familiarity with agenting/agentic frameworks for tool orchestration and multi-step workflows
- Familiarity with JavaScript or TypeScript
- Working knowledge of containers and Kubernetes
- Proficiency with DevOps tooling such as Jenkins and modern CI/CD workflows
- Knowledge of basic Linux commands
- Prior experience in AI research, development, or implementation projects
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.
