About the role
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
- enterprisegrade
- workloads.
- Contribute to model selection decisions (SLMs vs. larger models) based on
- usecase
- requirements and empirical evidence.
Applied
EndtoEnd
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 daring to tread new paths.
- Owners at heart, ready to take responsibility and drive results.
- Individuals of the highest integrity, who foster trust and honesty.
Minimum Qualifications
- Education: MS or PhD in Computer Science, Machine Learning, Operations Research, Statistics, or related fields
- Applied ML / GenAI Experience: 5+ years designing,
- building
- and iterating on ML systems, with hands ‑ on experience using frontier models and open-source models.
- Experience in translating business impact into quantitative metrics and designing experiments and statistical analysis of results
- Experience in working with cross-functional teams to deliver ML capabilities in customer-facing products and
- maintaining
ML quality
Strong communication
skills, verbal and written
Preferred Qualifications
Strong experience in model training, building autonomous agentic systems and agentic workflows, and rigorous evaluation of agentic systems
Demonstrated
- track record
- of excellence (e.g., publications at top-tier peer-reviewed conferences or journals) or significant product impact with highly technical solutions, and desire to grow
- Experience at fast-growing companies or startups, or working in an agile environment
Hiring Pay Range: $192,500 - $240,600
Benefits
:
In addition to competitive base pay, this position also includes an annual incentive opportunity based on target achievement, pre-IPO stock options, benefits including medical, dental, vision, 401(k) with a match, and more, plus generous paid time off, paid holidays, paid day off for your birthday and other paid leave policies to support employees through all phases of life.
Location preference:
USA - CA - Palo Alto
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.