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 Senior Software Engineer within Product Engineering, you will design, develop, and scale high-performance backend systems that power modern SaaS products. Your primary focus will be building reliable, secure, and scalable backend services across a distributed microservices architecture.
Our backend ecosystem includes services built in Go, Java, Python and Node.js (TypeScript). While deep expertise in one backend stack is expected, you should be comfortable working in a polyglot environment and be willing to learn new languages and technologies as needed.
You will play a key role in system design, API development, real-time communication systems, data modeling, and performance optimization. You will collaborate closely with frontend engineers, product managers, and platform teams to translate business requirements into robust production systems.
Strong ownership, clean coding practices, and architectural thinking are essential.
Responsibilities
- Design, develop, and maintain scalable backend services.
- Contribute to microservices built in Java, Python, or Go when needed.
- Architect and implement distributed systems using microservices and event-driven communication patterns.
- Design and implement scalable RESTful and gRPC services, including real-time and streaming communication patterns (WebSockets, SSE)
- Model, design, and optimize relational and document databases (Postgres, MongoDB).
- Implement caching strategies and performance optimizations (Redis or similar).
- Ensure system reliability, fault tolerance, and horizontal scalability.
- Implement authentication, authorization, and secure API practices.
- Participate in system design discussions, trade-off analysis, and architecture evolution.
- Write high-quality, well-tested, and maintainable code.
- Conduct peer code reviews and mentor junior engineers.
- Debug, monitor, and optimize production systems using observability tools.
- Collaborate with DevOps on containerization, CI/CD, and deployment pipelines.
- Work effectively in distributed and multi-region teams.
Requirements
- 3–6 years of professional software development experience.
- Strong backend engineering experience in one or more of the following languages: Java, Go, Python, or Node.js
- Experience building and operating production-grade backend services.
- Strong understanding of distributed systems fundamentals.
- Experience designing REST APIs and real-time systems.
- Practical experience with relational or document databases such as Postgres or MongoDB.
- Understanding of caching, asynchronous processing, and concurrency.
- Solid foundation in data structures, algorithms, and system design.
- Experience collaborating with cross-functional and distributed teams.
- Strong analytical and problem-solving skills.
- Willingness and ability to learn new programming languages and technologies.
AI (Added Advantage)
- Experience integrating LLM-based features (chat interfaces, RAG pipelines, vector search).
- Familiarity with frameworks such as LangChain or similar orchestration libraries.
- Experience building real-time AI-powered UI experiences.
- Understanding of streaming responses and token-based rendering in web applications.
- Exposure to AI observability and evaluation techniques.
Good to Have
- Experience with messaging and data infrastructure such as Kafka, Redis, NATS.
- Familiarity with edge deployments and CDN strategies.
- Hands-on experience with containerization (Docker) and CI/CD pipelines.
- Exposure to observability tooling (logging, tracing, monitoring).
- Understanding of frontend security best practices (XSS prevention, CSP, auth flows).
- Familiarity with frontend technologies such as React/Next.js for effective API collaboration.
Location preference:
India - Chennai
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.
Top Skills
What We Do
The Uniphore Business AI Cloud spans agents, models, knowledge, and data, combining the simplicity of consumer AI with the rigor, security, and scalability the enterprise demands. Business users can harness AI effortlessly and deliver outcomes immediately, while CIOs gain the foundation to build powerful AI applications embedded into workflows and trained on enterprise data. Built for the Enterprise, backed by AI Leaders Backed by NVIDIA, AMD, Snowflake, and Databricks, Uniphore brings a unique combination of capital and strategic alignment — validating its position as the definitive Business AI leader. Recent acquisitions of ActionIQ, Infoworks, Orby AI, and Autonom8 further cement Uniphore's AI talent depth and accelerate outcomes for clients. 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.
