AI Scientist

Position: Staff AI Scientist
Uniphore is the Business AI company. Our sovereign, composable and secure AI platform connects enterprise data, fine-tunes AI models and deploys agentic AI across the enterprise. We empower every worker to boost productivity and help businesses grow faster, operate smarter and reduce costs. Trusted by more than 2,000 businesses globally, and recognized on the Deloitte Fast 500, Uniphore delivers on the promise of AI as a transformative force for business.

Job Description:

About the role 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 is building the world’s best-in-class Business AI platform to enable business users to leverage the advances of artificial intelligence to solve problems in their specific business processes. Uniphore provides a composable, sovereign, and secure solution to business users, and drives AI adoption in organizations with innovative solutions to building, serving, and optimizing these AI solutions.

Location:

Palo Alto, CA You will be working on developing new foundational machine learning technology behind a category-defining product – Business AI will democratize the benefits of cutting-edge machine intelligence at scale to more customers.  If you are ready to take on the challenge of building the foundation model that enables a wide suite of capabilities around AI agent optimization, training of small and efficient foundation models, human-AI interaction, and agentic evaluation, etc.,

come join us! Responsibilities AI System Design & Implementation Design and implement AI systems capable of handling complex workflows, including multi-step reasoning, planning, and decision making. Explore and apply various orchestration patterns and architectures to solve business problems effectively. Translate abstract requirements into reliable AI behaviors under real operational constraints such as latency, cost, and safety. Experimentation & Evaluation Lead systematic experimentation across prompts, agents, model variants, and tool configurations.

Define and implement evaluation strategies for agentic systems, including task success, robustness, failure recovery, and hallucination analysis. Develop lightweight benchmarks, simulations, and offline/online evaluation loops to guide rapid iteration and decision making. Model Optimization & SLMs Finetune and adapt small and medium-sized foundation models using techniques such as PEFT, SFT, distillation, and reinforcement learning. Balance performance, latency, and cost for enterprise grade workloads. Contribute to model selection decisions (SLMs vs.

larger models) based on usecase requirements and empirical evidence. Applied Endto End Delivery Own bounded, endtoend AI workflows from problem framing through deployment where this accelerates impact. Partner with engineering teams on integration, monitoring, and lifecycle management. Contribute to production readiness without acting as a fulltime platform or infrastructure owner. Technical Leadership Act as a technical reference point for agentic AI best practices across the team.

Mentor junior scientists on experimentation methodology, evaluation design, and practical GenAI system development. Influence roadmap and technical direction through evidencebacked recommendations. We're Eager to Work with Those who want to join our mission to democratize AI to more business users. Individuals with an unwavering customer focus, committed to crafting experiences that delight. Those who embrace excellence and consistently deliver top-tier work.

Innovators who thrive on creative thinking and…