Provect LTD
AI Engineer (AI agents focused) | Agentic AI, LLMs, Evals, Langchain

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Company Description
Provect LTD is dedicated to building the next generation of automation solutions that reshape how businesses operate. The company focuses on AI-powered workflows that streamline complex processes and reduce manual effort. Its solutions emphasize seamless integrations with existing systems to create unified, efficient operations. Through intelligent process optimization that adapts to each client’s unique needs, Provect LTD helps organizations unlock higher productivity and more informed decision-making.
Role Description
The AI Engineer (AI agents focused) will design, build, and deploy agentic AI systems leveraging LLMs, LangChain, and related frameworks. Day-to-day responsibilities include developing AI workflows, integrating models with internal and external tools, and implementing evaluation frameworks to measure agent performance and reliability. The role involves collaborating with product and engineering teams to translate business requirements into robust AI solutions, as well as optimizing models for latency, accuracy, and cost. The AI Engineer will also maintain documentation, perform code reviews, and stay current with advancements in agentic AI, tooling, and best practices. This is a full-time, on-site role based in London.
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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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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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.
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Qualifications


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- Strong foundation in Computer Science and Software Development skills for designing scalable, maintainable AI systems.
- Experience with Neural Networks and Pattern Recognition skills for building and optimizing learning models and agent behaviors.
- Hands-on expertise in Natural Language Processing (NLP) and large language models (LLMs) for conversational agents, reasoning, and workflow automation.
- Practical experience with LangChain or similar orchestration frameworks, and familiarity with agentic AI architectures and tool integrations.
- Proficiency in Python and modern ML/AI libraries (e.g., PyTorch, TensorFlow, Hugging Face), plus solid software engineering practices (testing, CI/CD, version control).
- Ability to design and implement evaluation strategies (evals) for AI agents, including metrics, benchmarking, and safety considerations.
- Strong problem-solving and communication skills, with the ability to collaborate effectively in cross-functional teams on-site in London.
- Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or a related technical field, or equivalent practical experience.
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