Senior AI Engineer - #1768571

Role PurposeWe are looking for a Senior AI Engineer with experience in Agentic AI and LLM technologies to design and develop impactful AI solutions. You'll work alongside data engineers, data scientists, and cloud specialists, directly contributing to client success. In this role, you will:Engage with client challenges, developing practical and innovative Agentic AI and LLM solutions.

Implement and optimise AI workflows and model pipelines. Promote good practice in AI lifecycle management and cloud-native infrastructure. Collaborate closely with experienced team members, contributing to Hypercube’s growing AI expertise.

Key ResponsibilitiesTechnical ContributionDevelop and deploy reliable AI and LLM solutions, collaborating with senior team members. Contribute to the implementation and maintenance of AI pipelines (data ingestion, model training, deployment, and monitoring). Collaboration & CommunicationWork within multidisciplinary teams to deliver client-focused solutions.

Effectively communicate AI concepts and methodologies to peers and clients. Continuous Learning & DevelopmentStay up-to-date with developments in Agentic AI, LLMs, and AI best practices. Support internal knowledge sharing and mentorship activities.

Technical Skills & ExperienceWe understand this is an extensive list - you don't need to fit everything 100%. We value potential alongside proven experience—apply even if you meet only some criteria. Core SkillsAgentic AI & LLMs: Practical experience deploying and managing large language models and agent-based workflows.

Cloud AI (AWS/Azure): Experience deploying AI solutions on cloud platforms. Python: Proficient in writing clean, production-quality code. AI Model Management: Familiarity with platforms such as MLFlow, Hugging

Face, or LangChain. Data Processing: Experience with Databricks/Spark. SQL: Solid querying and data preparation skills.

Data Architectures: Understanding of modern data systems (lakehouses, data lakes). Additional (Nice-to-Have) SkillsInfrastructure as Code: Terraform or equivalent. Containers & Kubernetes: Docker, Kubernetes.Streaming: Kafka, Kinesis.

Cloud certifications (AWS or Azure). Desirable ExperienceExperience in consulting or the energy sector. Public engagement through blogging or speaking.

Strong communication and stakeholder engagement. Integration with hybrid or external systems. What’s in

It for You? Impactful

Work: Contribute to innovative AI solutions within the energy sector. Career Development: Learn from senior experts and benefit from tailored training. Flexible

Working: Accommodate your personal and professional lifestyle. Start-Up Atmosphere: Help shape our culture and processes. Personal Branding: Support in developing your public professional profile.

BenefitsPerformance-Related BonusEnhanced PensionEnhanced Maternity/PaternityPrivate Health InsuranceHealth Cash PlanPeer Cash Award SchemeCycle-to-Work SchemeFlexible Remote/Hybrid WorkingEvents & Community ParticipationEV Leasing SchemeTraining & Events BudgetMentorship ProgrammesDiversity & InclusionHypercube is committed to a diverse, inclusive workplace. Applications from all backgrounds and experiences are warmly encouraged. Ready to Apply?

If this role excites you, please apply via our careers page or contact us directly—even if you meet only some criteria. We’re eager to explore how your talents can help drive AI innovation in the energy sector. N.B. Visa sponsorship is currently not available.