Hypercube
Hypercube Consulting is a rapidly growing data and AI consultancy dedicated to transforming the energy sector through cutting edge technology. Specialising in advanced AI systems, including Agentic AI workflows and large language models (LLMs), we help clients unlock profound value from their data assets. Join our expert team in shaping the future of AI driven energy solutions. To get a better understanding of how we think and some of the ways we work, check out our founder's blog here: We are seeking a Principal AI Engineer with expertise in Agentic AI systems and Large Language Models to lead the design, development, and deployment of advanced AI solutions. You will collaborate closely with data engineering, analytics, and cloud teams to deliver transformative AI capabilities for our clients. As an influential hire in a growing organisation, your impact will be substantial, shaping technical strategy, cultivating our AI focused culture, and setting delivery standards. You will: Engage clients to understand their challenges, designing innovative Agentic AI and LLM driven solutions. Architect and implement robust AI systems, including end to end ML/LLM pipelines and autonomous agentic workflows. Promote and establish best practices in LLMOps, AI lifecycle management, and cloud native AI infrastructure. Mentor and develop team expertise, positioning Hypercube as a leader in AI engineering excellence. Key responsibilities Technical leadership & strategy Act as the AI and LLM subject matter expert for internal teams and client engagements. Drive the strategic design and implementation of sophisticated AI solutions leveraging cutting edge Agentic AI architectures and LLM frameworks. Design, build, and maintain scalable AI and LLM based pipelines using AWS or Azure services (e.g., SageMaker, Azure ML, Databricks, OpenAI integrations). Oversee AI model lifecycles from data preprocessing and prompt engineering through to deployment and continuous monitoring in production environments. Coordinate with cross functional teams (data engineers, data scientists, DevOps, stakeholders) to define and deliver client focused AI solutions. Communicate complex AI and LLM methodologies clearly to both technical peers and non technical stakeholders. Thought leadership & evangelism Advocate for best practices in LLMOps and Agentic AI (prompt engineering, evaluation, agent architectures, CI/CD). Engage with the AI community through blogs, speaking engagements, and open source contributions. Support business development through demos, proposals, and technical pre sales activities. Foster strong client relationships, advising on AI and LLM strategic directions. Mentor colleagues, enhancing the team's collective capabilities. Technical skills Please apply even if you meet only some criteria - we value potential alongside experience. Core skills Agentic AI & LLMs: Hands on experience building, deploying, and managing large language models and agent based AI workflows. Cloud AI (AWS/Azure): Demonstrated experience delivering AI solutions in production cloud environments. Advanced Python: Expertise in developing efficient, production grade AI/ML code. LLMOps & AI Model Management: Experience with tools like MLFlow, LangChain, Hugging Face, Kubeflow, or similar platforms. Data Processing: Proficient with Databricks/Spark for large scale AI data processing. SQL: Strong capabilities in data querying and preparation. Data Architectures: Understanding of modern data infrastructure (lakehouses, data lakes, vector databases). Additional (nice to have) skills Infrastructure as Code: Terraform or similar. Streaming: Kafka, Kinesis, Event Hubs. AWS or Azure certifications. Consulting or Energy sector. Public Thought Leadership (blogs, conferences, open source). Effective stakeholder engagement and business requirements translation. Integration with complex external or hybrid cloud systems. Excellent communication across diverse technical audiences. What's in it for you? High Impact: Drive innovation in energy sector AI solutions, directly influencing client outcomes. Career Growth: Benefit from senior mentorship, dedicated training budgets, and clear growth pathways. Flexible Environment: Open to various flexible working arrangements to suit your lifestyle. Start up Culture: Contribute significantly to shaping our culture, processes, and technologies. Personal Branding: Encouraged and supported in building your public professional profile. Enhanced pension Performance related bonus Enhanced maternity/paternity Cycle to work scheme Events and community participation Private health insurance Health cash plan EV leasing scheme Training and events budget Diversity & Inclusion Hypercube is committed to creating an inclusive environment reflective of society. We actively encourage applications from all backgrounds and experiences. Ready to Apply? If this role excites you, please apply via our careers page or reach out directly - even if you meet some but not all criteria. We're excited to explore how your expertise can help transform data and AI in the energy sector! N.B. We are currently not able to sponsor visas. Apply to work at Hypercube We want to ensure that you remain in control of your privacy and personal data. Part of this is making sure you understand your legal rights. To find out more about rights, see our Privacy Policy which can be found in our footer.
Hypercube Consulting is a rapidly growing data and AI consultancy dedicated to transforming the energy sector through cutting edge technology. Specialising in advanced AI systems, including Agentic AI workflows and large language models (LLMs), we help clients unlock profound value from their data assets. Join our expert team in shaping the future of AI driven energy solutions. To get a better understanding of how we think and some of the ways we work, check out our founder's blog here: We are seeking a Principal AI Engineer with expertise in Agentic AI systems and Large Language Models to lead the design, development, and deployment of advanced AI solutions. You will collaborate closely with data engineering, analytics, and cloud teams to deliver transformative AI capabilities for our clients. As an influential hire in a growing organisation, your impact will be substantial, shaping technical strategy, cultivating our AI focused culture, and setting delivery standards. You will: Engage clients to understand their challenges, designing innovative Agentic AI and LLM driven solutions. Architect and implement robust AI systems, including end to end ML/LLM pipelines and autonomous agentic workflows. Promote and establish best practices in LLMOps, AI lifecycle management, and cloud native AI infrastructure. Mentor and develop team expertise, positioning Hypercube as a leader in AI engineering excellence. Key responsibilities Technical leadership & strategy Act as the AI and LLM subject matter expert for internal teams and client engagements. Drive the strategic design and implementation of sophisticated AI solutions leveraging cutting edge Agentic AI architectures and LLM frameworks. Design, build, and maintain scalable AI and LLM based pipelines using AWS or Azure services (e.g., SageMaker, Azure ML, Databricks, OpenAI integrations). Oversee AI model lifecycles from data preprocessing and prompt engineering through to deployment and continuous monitoring in production environments. Coordinate with cross functional teams (data engineers, data scientists, DevOps, stakeholders) to define and deliver client focused AI solutions. Communicate complex AI and LLM methodologies clearly to both technical peers and non technical stakeholders. Thought leadership & evangelism Advocate for best practices in LLMOps and Agentic AI (prompt engineering, evaluation, agent architectures, CI/CD). Engage with the AI community through blogs, speaking engagements, and open source contributions. Support business development through demos, proposals, and technical pre sales activities. Foster strong client relationships, advising on AI and LLM strategic directions. Mentor colleagues, enhancing the team's collective capabilities. Technical skills Please apply even if you meet only some criteria - we value potential alongside experience. Core skills Agentic AI & LLMs: Hands on experience building, deploying, and managing large language models and agent based AI workflows. Cloud AI (AWS/Azure): Demonstrated experience delivering AI solutions in production cloud environments. Advanced Python: Expertise in developing efficient, production grade AI/ML code. LLMOps & AI Model Management: Experience with tools like MLFlow, LangChain, Hugging Face, Kubeflow, or similar platforms. Data Processing: Proficient with Databricks/Spark for large scale AI data processing. SQL: Strong capabilities in data querying and preparation. Data Architectures: Understanding of modern data infrastructure (lakehouses, data lakes, vector databases). Additional (nice to have) skills Infrastructure as Code: Terraform or similar. Streaming: Kafka, Kinesis, Event Hubs. AWS or Azure certifications. Consulting or Energy sector. Public Thought Leadership (blogs, conferences, open source). Effective stakeholder engagement and business requirements translation. Integration with complex external or hybrid cloud systems. Excellent communication across diverse technical audiences. What's in it for you? High Impact: Drive innovation in energy sector AI solutions, directly influencing client outcomes. Career Growth: Benefit from senior mentorship, dedicated training budgets, and clear growth pathways. Flexible Environment: Open to various flexible working arrangements to suit your lifestyle. Start up Culture: Contribute significantly to shaping our culture, processes, and technologies. Personal Branding: Encouraged and supported in building your public professional profile. Enhanced pension Performance related bonus Enhanced maternity/paternity Cycle to work scheme Events and community participation Private health insurance Health cash plan EV leasing scheme Training and events budget Diversity & Inclusion Hypercube is committed to creating an inclusive environment reflective of society. We actively encourage applications from all backgrounds and experiences. Ready to Apply? If this role excites you, please apply via our careers page or reach out directly - even if you meet some but not all criteria. We're excited to explore how your expertise can help transform data and AI in the energy sector! N.B. We are currently not able to sponsor visas. Apply to work at Hypercube We want to ensure that you remain in control of your privacy and personal data. Part of this is making sure you understand your legal rights. To find out more about rights, see our Privacy Policy which can be found in our footer.
Hypercube
Hypercube Consulting is a rapidly growing data and AI consultancy dedicated to transforming the energy sector through cutting-edge technology. Specialising in advanced AI systems, including Agentic AI workflows and large language models (LLMs), we help clients unlock profound value from their data assets. Join our expert team in shaping the future of AI-driven energy solutions. To get a better understanding of how we think and some of the ways we work, check out our founder's blog here: We 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 responsibilities Technical contribution Develop 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). Work within multidisciplinary teams to deliver client-focused solutions. Effectively communicate AI concepts and methodologies to peers and clients. Continuous learning & development Stay up-to-date with developments in Agentic AI, LLMs, and AI best practices. Support internal knowledge sharing and mentorship activities. Technical skills & experience We 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 skills Agentic 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) skills: Infrastructure as Code: Terraform or equivalent. Streaming: Kafka, Kinesis. Cloud certifications (AWS or Azure). Experience 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. Enhanced pension Performance related bonus Enhanced maternity/paternity Cycle to work scheme Events and community participation Private health insurance Health cash plan EV leasing scheme Training and events budget Diversity & Inclusion Hypercube is committed to creating an inclusive environment reflective of society. We actively encourage applications from all backgrounds and experiences. 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. We are currently not able to sponsor visas. Apply to work at Hypercube Join the Beyond Energy community Invitations to exclusive events, energy leader roundtables, webinars and on-demand videos, and the Beyond Energy newsletter. We want to ensure that you remain in control of your privacy and personal data. Part of this is making sure you understand your legal rights. To find out more about rights, see our Privacy Policy which can be found in our footer. Hubspot WordPress WordPress Required
Hypercube Consulting is a rapidly growing data and AI consultancy dedicated to transforming the energy sector through cutting-edge technology. Specialising in advanced AI systems, including Agentic AI workflows and large language models (LLMs), we help clients unlock profound value from their data assets. Join our expert team in shaping the future of AI-driven energy solutions. To get a better understanding of how we think and some of the ways we work, check out our founder's blog here: We 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 responsibilities Technical contribution Develop 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). Work within multidisciplinary teams to deliver client-focused solutions. Effectively communicate AI concepts and methodologies to peers and clients. Continuous learning & development Stay up-to-date with developments in Agentic AI, LLMs, and AI best practices. Support internal knowledge sharing and mentorship activities. Technical skills & experience We 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 skills Agentic 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) skills: Infrastructure as Code: Terraform or equivalent. Streaming: Kafka, Kinesis. Cloud certifications (AWS or Azure). Experience 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. Enhanced pension Performance related bonus Enhanced maternity/paternity Cycle to work scheme Events and community participation Private health insurance Health cash plan EV leasing scheme Training and events budget Diversity & Inclusion Hypercube is committed to creating an inclusive environment reflective of society. We actively encourage applications from all backgrounds and experiences. 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. We are currently not able to sponsor visas. Apply to work at Hypercube Join the Beyond Energy community Invitations to exclusive events, energy leader roundtables, webinars and on-demand videos, and the Beyond Energy newsletter. We want to ensure that you remain in control of your privacy and personal data. Part of this is making sure you understand your legal rights. To find out more about rights, see our Privacy Policy which can be found in our footer. Hubspot WordPress WordPress Required