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 Description
As a Principal Software Engineer within Product Engineering, you will provide technical leadership across multiple teams and systems, driving architecture, design standards, and long-term technical strategy. You will work closely with engineering leadership, product management, and cross-functional stakeholders to translate business goals into scalable, resilient, and future-ready platforms. In this role, you remain hands-on while also influencing system design, mentoring senior engineers, setting engineering best practices, and ensuring consistency and quality across distributed, multi-location teams. You are expected to anticipate technical challenges, guide complex technical decisions, and champion modern technologies, architectural patterns, and design principles.
Responsibilities
• Own and evolve the architecture of large-scale, distributed, enterprise-grade SaaS platforms.
• Drive technical vision, design principles, and architectural standards across teams.
• Lead the design and implementation of complex, high-impact systems and services.
• Partner with product, platform, and engineering leadership to align technical solutions with business objectives.
• Review and approve critical technical designs; provide guidance on trade-offs,
scalability, performance, and reliability.
• Remain hands-on by contributing to core components, prototypes, and high-risk or high-complexity areas.
• Establish and enforce best practices for code quality, testing, security, and operational excellence.
• Mentor and guide senior and staff engineers, raising the overall technical bar of the organization.
• Promote high standards for availability, scalability, resilience, and delivery
predictability.
• Influence Agile execution, release planning, and cross-team dependencies in multiregion environments.
Requirements
• 10–15+ years of professional software engineering experience, with a strong track record of technical leadership.
• Expert-level programming skills in Java, Python, Go, or Rust.
• Proven experience designing and building large-scale, distributed systems and
microservices-based architectures.
• Deep understanding of API design and communication protocols: REST, WebSockets, gRPC, and MCP.
• Strong hands-on experience with relational and document databases such as Postgres and MongoDB, including data modeling and performance tuning.
• Excellent grasp of data structures, algorithms, concurrency, and system design.
• Experience architecting and integrating LLM-powered systems, including RAG
pipelines and vector search at scale.
• Hands-on experience with agentic frameworks such as LangChain, LangGraph, or crewAI, and designing multi-agent systems.
• Experience leading and influencing teams across multiple regions and time zones.
• Strong analytical thinking and ability to make sound technical decisions under
ambiguity.
Good to Have
• Experience with distributed data and streaming systems such as Kafka, Redis, and ClickHouse.
• Strong background in Linux-based production environments and cloud-native
deployments.
• Deep knowledge of multiple database paradigms: SQL, NoSQL, time-series, graph, and vector databases.
• Experience with AI/ML platform design, including MLOps / LLMOps for large-scale production systems.
• Experience defining and implementing Service Level Objectives (SLOs), SLAs, and Service Level Management (SLM) for AI-driven services.
• Hands-on experience with LLM observability, including tracing, evaluation, monitoring, and safety/guardrails.
• Experience with LLM fine-tuning techniques such as LoRA, QLoRA, instruction tuning, or full-parameter tuning.
• Proven ability to evaluate emerging technologies and drive their adoption where they provide clear business value.
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.
