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 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 Qualifications 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, SOC2, HIPAA. Open source or research contributions to LangChain, RAG, or Knowledge Graph communities. Location Preference UK - London Equal Opportunity Statement 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.
01/06/2026
Full time
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 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 Qualifications 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, SOC2, HIPAA. Open source or research contributions to LangChain, RAG, or Knowledge Graph communities. Location Preference UK - London Equal Opportunity Statement 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.
Uniphore Technologies U.K. Limited is looking for a Customer Delivery Lead based in London. This role is pivotal to the end-to-end solution development for high-stakes customer deployments, focusing on technical strategy and product excellence. The ideal candidate will have over 8 years of engineering experience, strong full-stack skills in technologies like Python and Node.js, and a deep understanding of AI and ML applications. The position emphasizes collaboration, innovation, and mentorship within cross-functional teams.
01/06/2026
Full time
Uniphore Technologies U.K. Limited is looking for a Customer Delivery Lead based in London. This role is pivotal to the end-to-end solution development for high-stakes customer deployments, focusing on technical strategy and product excellence. The ideal candidate will have over 8 years of engineering experience, strong full-stack skills in technologies like Python and Node.js, and a deep understanding of AI and ML applications. The position emphasizes collaboration, innovation, and mentorship within cross-functional teams.
Uniphore Technologies U.K. Limited is seeking a Senior Pre-Sales Engineer to support enterprise sales with technical expertise. You will work closely with Account Executives, showcasing AI capabilities, engaging with clients, and tailoring solutions to meet specific business needs. The ideal candidate will have a minimum of 6 years in pre-sales or solution engineering, deep understanding of AI technologies, experience with cloud platforms, and strong communication skills. This role offers competitive compensation and benefits.
01/06/2026
Full time
Uniphore Technologies U.K. Limited is seeking a Senior Pre-Sales Engineer to support enterprise sales with technical expertise. You will work closely with Account Executives, showcasing AI capabilities, engaging with clients, and tailoring solutions to meet specific business needs. The ideal candidate will have a minimum of 6 years in pre-sales or solution engineering, deep understanding of AI technologies, experience with cloud platforms, and strong communication skills. This role offers competitive compensation and benefits.
Uniphore Technologies U.K. Limited is seeking a Senior Forward Deployed Engineer to take ownership of AI solution deployments on the Agentic AI platform. Key responsibilities include leading technical design, collaborating with teams, and ensuring deployment success for enterprise clients. The ideal candidate will have strong full-stack development skills, at least 4 years of engineering experience, and expertise in deploying AI/ML applications. This position is based in London, UK.
31/05/2026
Full time
Uniphore Technologies U.K. Limited is seeking a Senior Forward Deployed Engineer to take ownership of AI solution deployments on the Agentic AI platform. Key responsibilities include leading technical design, collaborating with teams, and ensuring deployment success for enterprise clients. The ideal candidate will have strong full-stack development skills, at least 4 years of engineering experience, and expertise in deploying AI/ML applications. This position is based in London, UK.
About the Role As a Senior Forward Deployed Engineer (Sr. FDE) at Uniphore, you will take technical ownership of strategic AI solution deployments and lead the architecture, prototyping, and delivery of customer specific applications on our Agentic AI platform. Responsibilities Lead the technical solution design and implementation of large scale Agentic and Knowledge AI solutions for key enterprise clients. Act as the primary technical point of contact during solution development and post deployment optimization. Own and execute projects end to end: from integration design to agent workflows and full stack delivery. Customize platform components as needed-integrating new APIs, building reusable tooling, or extending platform logic. Collaborate closely with cross functional teams internally and with customers to ensure solution success. Provide structured feedback to Platform Engineering and Product on feature gaps and customer pain points. Contribute to technical best practices and accelerate solution delivery through reusable assets, frameworks, and documentation. Champion observability, monitoring, versioning and telemetry to ensure trustworthy and auditable AI agents. Stay current on RAG, LLM/SLM advancements, Agentic AI tooling, vector/graph databases, retrieval optimizations, multi modal systems, evaluation frameworks, GPU/Infra trends, fine tuning techniques, security/guardrails and broader landscape of Enterprise & Agentic AI. Qualifications Undergraduate, master's degree or PhD in Computer Science or Data Science. 4+ years of experience in engineering, with 2+ years in customer facing or field roles. Proven success building and deploying AI/ML or data intensive applications in production. Deep full stack development skills (Python, Node.js/Go, React/Vue) and DevOps experience (Docker, K8s, CI/CD). Expertise in building data pipelines and integrating with enterprise systems (REST, Python, SQL, GraphQL, Webhooks etc). Solid understanding of LLMs, Prompt engineering/tuning, Vector DBs (AstraDB, Pinecone, Weaviate etc), RAG pipelines (LlamaIndex, Haystack) and Agent/Workflow Orchestration (LangChain, LangGraph, CrewAI). Knowledge of SLM Finetuning and Distillation is a big advantage. Experience and knowledge of Agentic development platforms and experience building and delivering enterprise agentic solutions is a huge advantage. Ability to translate ambiguous customer needs into actionable engineering plans. Strong leadership, mentoring, and project ownership abilities. Excellent communication and collaboration across technical and business stakeholders. Location UK - London Equal Opportunity Employer 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.
31/05/2026
Full time
About the Role As a Senior Forward Deployed Engineer (Sr. FDE) at Uniphore, you will take technical ownership of strategic AI solution deployments and lead the architecture, prototyping, and delivery of customer specific applications on our Agentic AI platform. Responsibilities Lead the technical solution design and implementation of large scale Agentic and Knowledge AI solutions for key enterprise clients. Act as the primary technical point of contact during solution development and post deployment optimization. Own and execute projects end to end: from integration design to agent workflows and full stack delivery. Customize platform components as needed-integrating new APIs, building reusable tooling, or extending platform logic. Collaborate closely with cross functional teams internally and with customers to ensure solution success. Provide structured feedback to Platform Engineering and Product on feature gaps and customer pain points. Contribute to technical best practices and accelerate solution delivery through reusable assets, frameworks, and documentation. Champion observability, monitoring, versioning and telemetry to ensure trustworthy and auditable AI agents. Stay current on RAG, LLM/SLM advancements, Agentic AI tooling, vector/graph databases, retrieval optimizations, multi modal systems, evaluation frameworks, GPU/Infra trends, fine tuning techniques, security/guardrails and broader landscape of Enterprise & Agentic AI. Qualifications Undergraduate, master's degree or PhD in Computer Science or Data Science. 4+ years of experience in engineering, with 2+ years in customer facing or field roles. Proven success building and deploying AI/ML or data intensive applications in production. Deep full stack development skills (Python, Node.js/Go, React/Vue) and DevOps experience (Docker, K8s, CI/CD). Expertise in building data pipelines and integrating with enterprise systems (REST, Python, SQL, GraphQL, Webhooks etc). Solid understanding of LLMs, Prompt engineering/tuning, Vector DBs (AstraDB, Pinecone, Weaviate etc), RAG pipelines (LlamaIndex, Haystack) and Agent/Workflow Orchestration (LangChain, LangGraph, CrewAI). Knowledge of SLM Finetuning and Distillation is a big advantage. Experience and knowledge of Agentic development platforms and experience building and delivering enterprise agentic solutions is a huge advantage. Ability to translate ambiguous customer needs into actionable engineering plans. Strong leadership, mentoring, and project ownership abilities. Excellent communication and collaboration across technical and business stakeholders. Location UK - London Equal Opportunity Employer 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.