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Greater London, England, United Kingdom
Onsite
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:
Responsibilities
Customer Delivery
Lead end to end solution development for multiple high-stakes customer deployments; manage technical strategy, design quality, and roadmaps for Agentic AI rollouts at enterprise scale.
Primary technical point of contact from integration design through to post-deployment optimisation
Translate ambiguous requirements into structured engineering plans with clear milestones and success criteria
Customise and extend platform components—APIs, tooling, and bespoke logic
Architecture & Standards
Architect robust, scalable, and compliant Agentic AI solutions across industries
Lead multi-agent orchestration, RAG pipelines, and LLM/SLM integration design
Champion observability, telemetry, and auditable AI standards
Build and maintain reusable frameworks and asset libraries
Team & Product
Help build and guide cross-functional Forward Deployed Engineering teams; coach senior/junior engineers, and cultivate a culture of excellence, collaboration, and innovation.
Provide structured product feedback to Platform Engineering on feature gaps and pain points
Contribute to playbooks, best practices, and technical blog posts
Qualifications
Required
8–12+ years engineering experience; 3+ years in customer-facing or FDE roles
Proven track record deploying AI/ML or data-intensive applications in production
Strong full-stack skills: Python, Node.js/Go, React/Vue, SQL, REST/GraphQL
DevOps proficiency: Docker, Kubernetes, CI/CD, and major cloud platforms
Expertise in LLMs, Prompt Engineering, Vector DBs, RAG pipelines, and Agentic orchestration frameworks
Agentic / Integrations: MCP, Salesforce/ SAP/ Other
Excellent communication with both technical and executive stakeholders
Mentorship capability and collaborative team-first mindset
BS / MS / PhD in Computer Science, Data Science, or related field
Preferred
SLM fine-tuning and/or distillation experience
Hands-on with dedicated Agentic AI platforms (e.g. Agentforce, Copilot Studio)
Knowledge of AI compliance requirements: GDPR, EU AI Act, SOC 2, HIPAA
Open-source or research contributions to LangChain, RAG, or Knowledge Graph communities
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.