3 months ago
London, United KingdomStaff+
Responsibilities
- Lead end-to-end solution development, technical strategy, design quality, and roadmaps for multiple enterprise Agentic AI deployments.
- Serve as the primary technical point of contact from integration design through post-deployment optimization.
- Translate ambiguous customer requirements into engineering plans with milestones and success criteria.
- Customize and extend platform components, APIs, tooling, and bespoke logic.
- Architect scalable and compliant Agentic AI solutions, including multi-agent orchestration, RAG pipelines, and LLM/SLM integrations.
- Champion observability, telemetry, auditable AI standards, reusable frameworks, and asset libraries.
- Build and guide cross-functional Forward Deployed Engineering teams and coach senior and junior engineers.
- Provide structured product feedback and contribute to playbooks, best practices, and technical blog posts.
Requirements
- 8–12+ years of engineering experience, including 3+ years in customer-facing or Forward Deployed Engineer roles.
- Proven experience deploying AI/ML or data-intensive applications in production.
- Strong full-stack skills with Python, Node.js or Go, React or Vue, SQL, REST, and GraphQL.
- DevOps proficiency with Docker, Kubernetes, CI/CD, and major cloud platforms.
- Expertise in LLMs, prompt engineering, vector databases, RAG pipelines, and Agentic orchestration frameworks.
- Experience with MCP and enterprise integrations such as Salesforce or SAP.
- Excellent communication with technical and executive stakeholders plus demonstrated mentorship ability.
- Bachelor’s, master’s, or doctoral degree in Computer Science, Data Science, or a related field.
- Preferred qualifications include SLM fine-tuning or distillation experience, hands-on use of Agentic AI platforms such as Agentforce or Copilot Studio, AI compliance knowledge, and open-source or research contributions to LangChain, RAG, or Knowledge Graph communities.
About Uniphore
Uniphore builds an enterprise Business AI Cloud that powers multimodal, agentic applications across voice, video, and text for customer-facing operations. Its products span speech recognition/analytics, AI agents, orchestration, and workflow automation delivered as B2B software and services to large enterprises in multiple industries. Founded in 2008 and headquartered in Palo Alto, the company is privately held and operates globally.