3 months ago
London, United KingdomSenior
Responsibilities
- Lead technical solution design and implementation for large-scale Agentic AI and Knowledge AI solutions.
- Act as the primary technical point of contact during solution development and post-deployment optimization.
- Own projects end-to-end, including integration design, agent workflows, and full-stack delivery.
- Customize platform components by integrating APIs, building reusable tooling, and extending platform logic.
- Collaborate with customers and cross-functional internal teams to ensure solution success.
- Provide feedback to Platform Engineering and Product on feature gaps and customer pain points.
- Create reusable assets, frameworks, documentation, and technical best practices to accelerate delivery.
- Champion observability, monitoring, versioning, and telemetry for trustworthy and auditable AI agents.
- Stay current on RAG, LLM and SLM advancements, Agentic AI tooling, vector and graph databases, multimodal systems, evaluation frameworks, infrastructure trends, fine-tuning, security, and guardrails.
Requirements
- Undergraduate, master's degree, or PhD in Computer Science or Data Science.
- At least 4 years of engineering experience, including at least 2 years in customer-facing or field roles.
- Proven experience building and deploying AI/ML or data-intensive applications in production.
- Deep full-stack development skills with Python, Node.js or Go, and React or Vue.
- DevOps experience with Docker and Kubernetes.
- Experience building data pipelines and integrating enterprise systems through REST, Python, SQL, GraphQL, and webhooks.
- Expertise with LLMs, prompt engineering or tuning, vector databases, RAG pipelines, and agent or workflow orchestration.
- Knowledge of SLM fine-tuning and distillation is advantageous.
- Experience with Agentic development platforms and delivering enterprise Agentic AI solutions is advantageous.
- Ability to translate ambiguous customer needs into actionable engineering plans.
- Strong leadership, mentoring, project ownership, communication, and cross-functional collaboration abilities.
Benefits
- Location preference is London, UK.
- Uniphore is an equal opportunity employer committed to diversity in the workplace.
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.