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Jobgether

Java Gen AI Engineer

United Kingdom
Posted about 14 hours ago
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Java Gen AI Engineer

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Java Gen AI Engineer based in United Kingdom.

This role offers an opportunity to combine strong Java engineering expertise with hands-on Generative AI development.

You will design and implement practical, production-ready AI solutions aligned with business and executive priorities.

The position focuses on agentic workflows, AI application integration, and performance engineering in an evolving technology landscape.

You will collaborate with stakeholders and distributed engineering teams to accelerate AI adoption and expand internal capabilities.

The role also provides exposure to cloud platforms, enterprise-scale AI initiatives, data pipelines, and AI-enabled user experiences.

Success requires a hands-on mindset, technical curiosity, and the ability to turn emerging AI concepts into reliable solutions.

You will have the autonomy to make a meaningful impact while helping shape how AI capabilities are developed and scaled.

Accountabilities

  • Design and implement AI-driven solutions that address business and executive priorities while integrating effectively with existing applications and systems.
  • Translate Generative AI concepts, emerging technologies, and agentic approaches into practical, scalable, production-ready implementations.
  • Develop AI engineering solutions involving LLMs, AI tools, applied AI systems, and intelligent workflows.
  • Contribute to agentic workflows and performance engineering frameworks that improve the scalability and effectiveness of AI applications.
  • Collaborate with internal stakeholders and distributed or offshore engineering teams to deliver AI initiatives and resolve technical challenges.
  • Help identify gaps in AI expertise and contribute to knowledge sharing, technical enablement, and the development of scalable internal capabilities.
  • Support AI-enabled web and UI implementations using tools such as Open WebUI or comparable frameworks where appropriate.
  • Integrate AI services with cloud environments and existing enterprise applications, leveraging platforms such as AWS, Azure, or GCP.
  • Contribute to enterprise-scale AI projects and data pipelines while applying appropriate security and engineering practices.
  • Stay current with developments across Generative AI, agentic systems, AI frameworks, and related technologies, identifying opportunities to improve existing solutions.

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.

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Graduate Consultant — 2026 Scheme

PwC·London, UK
£35,000/yr

Why you're a good match

Strong

Your 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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It searches the market for you

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.

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Strong

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.

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Strong

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.

Requirements

  • At least 1 year of hands-on experience in AI engineering, including LLMs, AI tools, or applied AI systems, combined with strong Java engineering capabilities.
  • Demonstrated experience building and deploying real-world AI solutions rather than focusing solely on theoretical concepts.
  • Strong understanding of modern AI trends, tools, frameworks, and practical Generative AI engineering techniques.
  • Experience designing interoperable solutions that integrate AI capabilities with existing applications and enterprise systems.
  • Familiarity with cloud platforms such as AWS, Azure, or GCP and experience integrating cloud-based AI services.
  • Understanding of enterprise-scale AI projects, data pipelines, and security best practices for AI applications.
  • Experience with AI-enabled web interfaces or UI frameworks, such as Open WebUI or similar technologies, is an advantage.
  • Experience working with distributed or offshore teams and collaborating effectively across different time zones is preferred.
  • Strong communication skills, with the ability to explain technical concepts clearly and collaborate effectively with technical and non-technical stakeholders.
  • A proactive, self-driven approach with the ability to work independently, manage priorities, and operate with urgency in a fast-changing environment.
  • Genuine enthusiasm for technology and AI, with a continuous-learning mindset and a strong focus on practical execution.

Benefits

  • Flexible contract engagement with openness to candidates across global locations.
  • Opportunity to work on practical Generative AI and agentic technology initiatives.
  • Exposure to enterprise-scale AI adoption, cloud platforms, data pipelines, and AI application development.
  • Opportunity to collaborate with distributed engineering teams and internal technology stakeholders.
  • High-impact environment where your work can directly contribute to scaling AI capabilities.
  • Flexibility and autonomy to operate effectively across time zones and evolving project requirements.
  • Opportunity to deepen expertise in emerging AI technologies and modern AI engineering practices.

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How Jobgether Works

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Why Apply Through Jobgether?

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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Skills

Java
Generative AI
Large Language Models
Agentic Workflows
AWS
Azure
GCP
Open WebUI
Performance Engineering
Data Pipelines
AI Integration
Cloud Computing

Location

United Kingdom

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