Areti Group | B Corp™
Python Developer (AI)

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Senior AI Engineer (Python & Agentic AI)
Location: London (Hybrid, 3 days per week onsite)
Salary: Up to £100,000 + Benefits
About the Role
Our client, a leading financial services organisation, is investing heavily in the future of AI and intelligent automation. They are looking for a highly motivated Senior AI Engineer to join a growing Data & AI team focused on building an advanced Agentic AI Platform.
This is a unique opportunity to work at the forefront of AI innovation, developing and training autonomous agents capable of generating, testing, and deploying code within a controlled and governed environment.
You'll play a key role in shaping how AI is safely integrated into critical business functions, creating the guardrails, rules, and frameworks that ensure agentic systems operate effectively, responsibly, and securely.
Key Responsibilities
- Design, develop, and optimise AI-driven solutions using Python.
- Build, train, and manage Agentic AI systems capable of autonomous task execution.
- Define and implement governance frameworks, guardrails, prompts, boundaries, and decision-making rules for AI agents.
- Work closely with data, engineering, and business stakeholders to identify opportunities for AI-driven automation.
- Improve agent performance through continuous training, testing, monitoring, and refinement.
- Develop robust evaluation methodologies to ensure safe and reliable AI behaviour.
- Contribute to the overall AI strategy and help shape the evolution of the firm's Agentic AI capabilities.
- Stay current with emerging developments across Generative AI, LLMs, AI Agents, and related technologies.
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.
Skills & Experience Required
Essential
- Strong commercial experience as a Python Engineer, AI Engineer, or Data Scientist with a heavy Python focus.
- Recent hands-on experience working with AI technologies within the last 6-12 months.
- Experience building, training, orchestrating, or managing AI agents and agentic workflows.
- Strong understanding of prompt engineering, agent behaviour management, and AI governance principles.
- Experience implementing controls, rules, parameters, and safety mechanisms around AI systems.
- Excellent software engineering fundamentals and coding best practices.
- Strong problem-solving and analytical abilities.


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Desirable
- Experience with frameworks such as LangChain, LangGraph, CrewAI, AutoGen, OpenAI, Anthropic, or similar agentic platforms.
- Exposure to MLOps, LLMOps, model evaluation, and deployment practices.
- Experience within Financial Services, Banking, Investment Management, or highly regulated environments.
- Cloud experience across Azure, AWS, or GCP.
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