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:
Responsibilities
• Design, develop, test, and maintain scalable backend and frontend
components for enterprise-grade SaaS applications.
• Translate product and business requirements into clear technical designs and
implementation plans.
• Contribute to system and API design, ensuring maintainability, performance,
and scalability.
• Write high-quality, well-documented, and testable code following best
practices.
• Participate in peer code reviews and provide constructive feedback.
• Collaborate effectively with cross-functional and multi-region teams to
deliver features within agreed timelines.
• Support and improve existing systems through refactoring, optimization, and
bug fixes.
• Follow Agile development practices and contribute to continuous
improvement of engineering processes.
Requirements
• 3-6 years of professional software development experience.
• Strong programming skills in Java, Python, Go, or Rust.
• Solid experience building backend systems using modern frameworks and
libraries.
• Hands-on experience with API frameworks and protocols such as REST,
WebSockets, gRPC, and familiarity with MCP.
• Practical experience with relational or document databases such as Postgres
or MongoDB.
• Strong understanding of microservices-based architectures and distributed
systems fundamentals.
• Solid foundation in data structures, algorithms, and system design.
• Experience building or integrating LLM-based features, including RAG
(Retrieval-Augmented Generation) and vector search.
• Familiarity with agent frameworks such as LangChain, LangGraph
• Experience working with distributed or multi-region teams.
• Strong analytical and problem-solving skills, with attention to detail and
code quality.
Good to Have
• Experience with messaging and data infrastructure such as Kafka, Redis, and
ClickHouse.
• Hands-on experience working in Linux environments.
• Experience with both relational and NoSQL databases.
• Exposure to multiple data paradigms: SQL, NoSQL, time-series, or graph
databases.
• Experience deploying and operating AI/ML or LLM-powered services (MLOps
/ LLMOps).
• Familiarity with observability for AI systems, including logging, tracing,
monitoring, and evaluation.
• Exposure to LLM fine-tuning techniques such as LoRA, QLoRA, or instruction
tuning.
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.
