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Uniphore is a B2B AI-native enterprise platform company building foundational machine learning technology for business AI applications. The company combines Generative AI, Knowledge AI, Emotion AI, and workflow automation to enable enterprise customers across multiple verticals.
In this Staff AI Scientist role, you will lead the technical design and implementation of AI systems capable of handling complex workflows including multi-step reasoning, planning, and decision-making. You'll explore orchestration patterns and architectures to solve business problems while translating abstract requirements into reliable AI behaviors under real operational constraints such as latency, cost, and safety.
Key responsibilities include:
- Design and implement AI systems for complex workflows with multi-step reasoning and planning
- 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
- Finetune and adapt small and medium-sized foundation models using PEFT, SFT, distillation, and reinforcement learning
- Balance performance, latency, and cost for enterprise-grade workloads
- Own bounded, end-to-end AI workflows from problem framing through deployment
- Partner with engineering teams on integration, monitoring, and lifecycle management
- Act as subject matter expert and mentor junior scientists on experimentation methodology and GenAI system development
- Influence roadmap and technical direction through evidence-backed recommendations
You'll work on democratizing AI benefits at scale, building foundation models that enable AI agent optimization, training of efficient models, human-AI interaction, and agentic evaluation. The role requires strong technical leadership, customer focus, and the ability to drive strategic technical directions crucial for business growth.
