Senior AI Engineer

Job Description

Uniphore is one of the largest B2B AI‑native companies 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.

Location:

Hybrid, onsite 2‑3 days/week in Palo Alto, CA

We are seeking a Senior Software Engineer specializing in AI Engineering with deep expertise in distributed systems and Conversational AI. In this role, you will lead the design and development of an enterprise‑grade conversational AI platform, building intelligent virtual assistants and AI‑driven solutions for enterprise customers.

You’ll work at the intersection of large‑scale distributed infrastructure and cutting‑edge AI/ML, ensuring that our conversational products are scalable, reliable, and deliver state‑of‑the‑art experiences in natural language understanding and dialogue.

This position combines technical leadership with hands‑on development, offering the opportunity to shape the future of conversational AI products used by thousands of enterprise users.

• Design and build distributed software systems and microservices to support large‑scale conversational AI solutions, ensuring high availability, fault tolerance, and performance under heavy load.
• Lead the development of advanced Conversational AI capabilities (NLP and generative AI models), delivering intelligent dialogue systems and virtual assistants for enterprise users. This includes working on natural language understanding, intent recognition, and integration of large language models to enhance user interactions.
• Ensure end‑to‑end quality of AI‑driven applications, including rigorous testing, test automation, performance tuning, and maintaining CI/CD pipelines for continuous integration and deployment of ML models. You will drive best practices in MLOps to streamline model training, validation, and rollout to production.
• Deploy and orchestrate AI services on cloud platforms (e.g., AWS, GCP, or Azure) using containerization technologies like Kubernetes and Docker to achieve scalable, secure, and reliable infrastructure for conversational AI products.
• Architect solutions for real‑time data processing and streaming (using technologies like Kafka or similar) to enable responsive, data‑driven AI interactions, and ensure efficient data storage and retrieval by leveraging both relational and No
  
  SQL database systems for conversation context and analytics.
• Collaborate closely with research scientists, ML engineers, and product teams to integrate the latest AI breakthroughs into the platform. Drive innovation by contributing to open‑source projects or research publications, and foster a culture of knowledge‑sharing and continuous improvement in the Conversational AI domain.

• Bachelor’s degree in Computer Science or related field (or equivalent practical experience); advanced degree (Master’s/PhD) preferred. 3–5+ years of software development experience, including building large‑scale distributed systems or infrastructure.
• Proven experience designing and implementing distributed systems and microservices architecture for complex applications. Deep understanding of concurrency, networking, and large‑scale system design (experience building highly scalable infrastructure is required).
• Strong expertise in AI/Machine Learning, with emphasis on Natural Language Processing and Conversational AI. Hands‑on experience developing NLP models, dialogue management, or working with…