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 Senior Software Engineer at Uniphore, you’ll help build and evolve the data platform and AI capabilities at the heart of our product offerings. You’ll work closely with engineers, product managers, and AI/ML teams to deliver scalable, reliable, high-performance systems in the cloud—especially for unstructured data, RAG, and agentic AI workflows.
Key Responsibilities
Build and enhance a scalable data engineering platform across cloud providers (AWS/GCP/Azure).
Design and implement distributed data applications using Spark, Databricks, and/or Snowflake.
Develop and ship AI-driven applications, including RAG pipelines and agentic workflows (tool orchestration, multi-step execution).
Implement robust processing for unstructured data (documents, PDFs, transcripts, chat logs), including extraction, enrichment, and indexing for downstream analytics/AI.
Write clean, maintainable, and efficient code aligned with engineering best practices.
Participate in the full SDLC: requirements, design, development, testing, and release.
Troubleshoot, debug, and optimize existing services for performance, reliability, and scalability.
Collaborate with cross-functional teams (AI/ML, product, UX) to translate business needs into technical solutions.
Ensure adherence to security and data privacy standards when working with sensitive customer data.
Contribute to and improve CI/CD pipelines, deployment automation, and code quality processes.
Required Skills and Experience
Bachelor’s/Master’s degree in Computer Science, IT, or equivalent practical experience.
3–5 years of professional software development experience.
Strong proficiency in Java and Python, with experience building APIs/services.
Experience with frameworks such as Spring Boot or Vert.x.
Working knowledge of databases such as Postgres, MongoDB, or MySQL.
Experience with one or more cloud platforms: AWS, GCP, or Azure.
Strong problem-solving and debugging skills; ability to work independently and drive deliverables.
Familiarity with software engineering best practices: version control, code reviews, testing/TDD.
Strong written and verbal communication skills; comfortable in a fast-paced environment.
Preferred Skills
Hands-on experience with Spark or managed Spark (e.g., Dataproc, Databricks).
Familiarity with orchestration tools such as Airflow.
Experience with cloud data warehouses like Snowflake or BigQuery.
Experience building/operating RAG systems (chunking, embeddings, vector search, evaluation, guardrails).
Familiarity with agentic/agent frameworks for tool use, orchestration, and multi-step workflows.
Experience with unstructured data processing pipelines and search/indexing patterns.
Familiarity with containers and Kubernetes.
Exposure to DevOps tools like Jenkins and CI/CD workflows.
Basic Linux fluency.
Familiarity with JavaScript/TypeScript.
Prior exposure to AI/ML 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/Master's degree in Computer Science or IT (or equivalent experience)
- 3-5 years of professional software development experience
- Strong proficiency in Java
- Strong proficiency in Python
- Experience building APIs/services
- Experience with frameworks such as Spring Boot or Vert.x
- Working knowledge of Postgres, MongoDB, or MySQL
- Experience with one or more cloud platforms: AWS, GCP, or Azure
- Familiarity with version control, code reviews, testing/TDD
- Strong problem-solving, debugging skills, and communication
- Ensure security and data privacy when working with sensitive customer data
- Participate in full SDLC and contribute to CI/CD pipelines
- Hands-on experience with Spark or managed Spark (Dataproc, Databricks)
- Familiarity with orchestration tools such as Airflow
- Experience with cloud data warehouses like Snowflake or BigQuery
- Experience building/operating RAG systems (chunking, embeddings, vector search)
- Familiarity with agentic/agent frameworks for multi-step workflows
- Experience with unstructured data processing pipelines and search/indexing
- Familiarity with containers and Kubernetes
- Exposure to DevOps tools like Jenkins and CI/CD workflows
- Basic Linux fluency
- Familiarity with JavaScript/TypeScript
- Prior exposure to AI/ML 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.
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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.
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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.
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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.
