AgileGrid Solutions
AWS AI / MLOps Engineer

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About The Company
Tenth Revolution Group is a leading organization dedicated to driving innovation and technological advancement across various industries. Renowned for its commitment to excellence and cutting-edge solutions, the company specializes in delivering transformative digital services and AI-driven projects. With a focus on fostering a dynamic and inclusive work environment, Tenth Revolution Group prides itself on attracting top talent and maintaining a culture of continuous learning and development. The company’s mission is to leverage emerging technologies to solve complex challenges, enabling clients to achieve sustainable growth and competitive advantage in their respective markets.
About The Role
We are seeking a highly skilled and motivated AI Engineer to join our innovative team working on a groundbreaking AI project. This role involves deploying and operationalizing agentic Generative AI solutions within Amazon Web Services (AWS), with a focus on creating scalable, reliable, and efficient infrastructure. The successful candidate will play a key role in building and maintaining high-availability SageMaker endpoints, developing infrastructure as code using Terraform, and implementing best practices in MLOps and CI/CD pipelines. This position offers an exciting opportunity to work on state-of-the-art AI solutions in a remote setting, contributing to the future of enterprise AI deployment.
Qualifications
- Proven experience in Generative AI and Agentic AI technologies, with a strong understanding of AI model deployment and management.
- Extensive experience working with AWS services, particularly SageMaker and Bedrock.
- Solid background in MLOps, including production ML deployments, monitoring, and operational support.
- Proficiency in Infrastructure as Code tools, especially Terraform, to automate and streamline infrastructure provisioning.
- Hands-on experience with CI/CD pipelines, DevOps practices, and automation frameworks.
- Strong problem-solving skills with the ability to produce clear architecture documentation, configuration guides, and operational runbooks.
- Excellent communication skills, capable of delivering knowledge transfer sessions and supporting engineering handovers.
- Eligibility to pass security clearance checks such as SC or BPSS.
Reasons to use Rodeo
I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?
Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.
Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.
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Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.
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Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Why you're a good match
You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.
Experience fit
Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
Responsibilities
- Deploy and operationalize Generative AI solutions within AWS, ensuring scalable and secure implementations.
- Develop and maintain highly available SageMaker endpoints, including implementing monitoring, alerting, and troubleshooting protocols.
- Create Terraform modules to enable repeatable and consistent infrastructure deployments across environments.
- Implement and optimize CI/CD pipelines to facilitate continuous integration and delivery of AI models and infrastructure updates.
- Apply MLOps best practices to monitor, maintain, and improve deployed AI models in production.
- Produce comprehensive architecture documentation, configuration guides, and operational runbooks to support ongoing maintenance and knowledge sharing.
- Conduct knowledge transfer sessions and assist in engineering handovers to ensure seamless project continuity.
- Collaborate with cross-functional teams to understand project requirements and translate them into robust technical solutions.
- Stay updated with the latest AI and cloud computing trends, integrating new tools and methodologies to enhance project outcomes.


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Benefits
Joining Tenth Revolution Group offers an opportunity to work on innovative AI projects with a forward-thinking organization. The role provides competitive daily rates, flexible remote working arrangements, and the chance to be part of a dynamic team focused on cutting-edge technology deployment. The company supports continuous professional development and offers a collaborative environment where your expertise can make a significant impact. Additionally, this position provides exposure to the latest advancements in AI and cloud infrastructure, fostering growth and skill enhancement in a rapidly evolving field.
Equal Opportunity
Tenth Revolution Group is committed to creating an inclusive environment for all employees and applicants. We are proud to be an equal opportunity employer and do not discriminate based on race, gender, age, religion, sexual orientation, disability, or any other protected characteristic. We believe that diversity enhances our innovation and success, and we welcome candidates from all backgrounds to apply and join our team.
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