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Netrolynx AI

AI Engineer

United Kingdom
Posted about 14 hours ago
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About The Company

The Portfolio Group is a leading talent acquisition and recruitment firm that partners with innovative organizations across various industries. Renowned for its commitment to excellence and strategic approach, The Portfolio Group specializes in connecting top-tier talent with forward-thinking companies. Their extensive network and industry expertise enable them to identify and attract professionals who drive growth, innovation, and success. With a focus on fostering long-term relationships, The Portfolio Group ensures that both clients and candidates find the perfect match to achieve their organizational and career objectives.

About The Role

We are partnering with an established organization that is currently investing heavily in its artificial intelligence and generative search capabilities. The organization is seeking a highly skilled Senior AI Engineer to join their dynamic AI team. This pivotal role involves designing and delivering production-grade AI systems that emphasize accuracy, scalability, and tangible real-world impact. The ideal candidate will play a crucial role in advancing the company's AI initiatives, particularly in Retrieval-Augmented Generation (RAG), agentic workflows, and large language model (LLM) optimization.

This position offers an exciting opportunity to work within a growing AI function, contributing to cutting-edge projects that shape the future of AI-driven solutions. The Senior AI Engineer will collaborate with cross-functional teams, mentor junior engineers, and influence the technical direction of AI initiatives, ensuring the deployment of robust, scalable, and innovative AI systems.

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.

Start with a chat, not a search bar

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.

P

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.

Qualifications

The ideal candidate will possess a strong foundation in Python engineering, with significant experience in building and deploying AI/ML systems in a production environment. Proven expertise in RAG architectures, LLM workflows, and generative AI is essential. Candidates should have hands-on experience with tools such as LangChain, LangGraph, and LlamaIndex, demonstrating their ability to implement retrieval strategies and optimize large language models effectively.

A solid understanding of evaluation methodologies for generative AI, cloud computing environments—preferably AWS—and experience operating in a senior or technical leadership capacity are highly desirable. Candidates should also demonstrate excellent problem-solving skills, a proactive approach to innovation, and the ability to mentor and lead junior team members.

Responsibilities

  • Design and develop scalable Retrieval-Augmented Generation (RAG) pipelines and generative AI workflows to meet organizational needs.
  • Build and optimize solutions utilizing tools such as LangChain, LangGraph, and LlamaIndex, ensuring high performance and reliability.
  • Implement advanced retrieval strategies including reranking, chunking, and retrieval fusion to enhance the accuracy and relevance of AI outputs.
  • Develop and maintain agentic workflows with a focus on robustness, scalability, and ease of maintenance.
  • Contribute to experimentation, evaluation, and the development of AI quality frameworks to ensure continuous improvement.
  • Support initiatives related to fine-tuning, instruction tuning, and overall model optimization to improve AI performance.
  • Mentor junior engineers, promote best practices, and contribute to the technical growth of the team.

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Benefits

The organization offers a competitive compensation package, including salary, performance-based bonuses, and comprehensive benefits. Employees will have access to flexible working arrangements, ongoing professional development opportunities, and exposure to innovative AI projects that make a meaningful impact. The company fosters a collaborative and inclusive work environment, encouraging continuous learning and growth. Additionally, team members benefit from state-of-the-art tools and resources to support their technical pursuits and career progression.

Equal Opportunity

The organization is committed to creating an inclusive environment where all employees and applicants are treated with respect and fairness. They are an equal opportunity employer, welcoming applications from individuals of diverse backgrounds, experiences, and perspectives. The company values diversity and is dedicated to ensuring that every team member has the opportunity to thrive and contribute to the organization’s success.

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Skills

Python
RAG Architectures
LLM Optimization
LangChain
LangGraph
LlamaIndex
Generative AI
AWS
Agentic Workflows
AI Evaluation
Machine Learning
Technical Leadership

Location

United Kingdom

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