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
UK - London
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.