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£600pd Inside IR35
2-3 days on site in London
Initial 6 month engagement
emagine is a high-end professional services consultancy and solutions firm specialising in providing business and technology services to the financial services sector, we power progress, solve challenges and deliver real results through tailored high-end consulting services and solutions.
We have created a culture of openness and integrity by building genuine and strong relationships and partnerships, enabling us to be uncompromising in our dedication in delivering the optimal service for our clients. Our commitment is not just towards our clients but we aim to foster a positive and equitable working environment with our consultants and colleagues which stems from our core values: Confident, Dedicated, Responsible, Genuine.
We are seeking an experienced AI Engineer with a proven track record of designing, building, and deploying agentic AI solutions. The successful candidate will have deep hands-on expertise in Python, LangGraph, and LangChain, alongside strong experience delivering enterprise-grade AI applications across Azure and AWS cloud environments.
This is an exciting opportunity to work on cutting-edge AI initiatives involving autonomous agents, multi-agent systems, retrieval-augmented generation (RAG), and advanced orchestration frameworks that drive real business value.
Key Responsibilities
- Design, develop, and deploy scalable agentic AI solutions using Python, LangGraph, and LangChain.
- Build and manage multi-agent architectures, including agent orchestration, coordination, and workflow management.
- Implement advanced AI capabilities including:
- Retrieval-Augmented Generation (RAG)
- Memory management
- Planning and reasoning frameworks
- Human-in-the-loop workflows
- Tool integration and Model Context Protocol (MCP) integration
- Develop and optimise prompts, agent behaviours, and decision-making processes through effective prompt engineering and evaluation methodologies.
- Establish robust guardrails, governance frameworks, and responsible AI practices.
- Implement observability, monitoring, testing, and performance evaluation for AI systems.
- Build and maintain CI/CD pipelines for AI application deployment and lifecycle management.
- Ensure security, scalability, and reliability of AI solutions in enterprise environments.
- Integrate AI agents with enterprise APIs, data platforms, business applications, and cloud services across Azure and AWS.
- Collaborate with architects, engineers, product teams, and business stakeholders to deliver innovative AI-driven 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.
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.
See breakdownIt 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.
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.
Required Skills & Experience
- Minimum 8 years of hands-on experience building AI solutions, with significant experience in agentic AI development.
- Strong proficiency in Python.
- Extensive experience with LangGraph and LangChain.
- Proven expertise in:
- Agent orchestration
- Multi-agent systems and workflows
- Tool and MCP integration
- Retrieval-Augmented Generation (RAG)
- AI memory architectures
- Planning and reasoning frameworks
- Human-in-the-loop systems
- Deep understanding of multi-cloud environments, particularly Microsoft Azure and Amazon Web Services (AWS).
- Experience implementing prompt engineering, evaluation frameworks, guardrails, and AI governance.
- Strong knowledge of observability, monitoring, testing, and quality assurance for AI systems.
- Experience with CI/CD, DevOps practices, and secure software deployment.
- Demonstrated ability to integrate AI solutions with enterprise platforms, APIs, and data ecosystems.
- Excellent communication and stakeholder management skills.
Desirable Experience
- Experience with enterprise-scale AI deployments and production-grade agent frameworks.
- Knowledge of vector databases, knowledge graphs, and advanced retrieval techniques.
- Familiarity with MLOps and AI governance best practices.
- Experience working within highly regulated environments.
What We're Looking For
We are looking for an innovative and technically strong AI Engineer who combines deep engineering expertise with a passion for emerging AI technologies. You will play a key role in shaping and delivering next-generation agentic AI solutions that enable intelligent automation and business transformation.
Our People
The ideal consultants will share our values and be aligned with our ways of working and as your career progresses, you can expect to work across all areas of the project lifecycle, from strategy to implementation. This will provide you with a broad base of experience from which to build an outstanding career.


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The ideal consultants will share our values and be aligned with our ways of working and as your career progresses, you can expect to work across all areas of the project lifecycle.
We pride ourselves on;
- Providing our people with a supportive culture, rooted in our values and driven by our purpose.
- Promoting a culture of inclusion, collaboration, well-being, and learning and development.
- Providing increased agility and flexibility within our hybrid working model
- Investing in employees’ growth through ongoing training and development
- Autonomy to take ownership of projects, making decisions and demonstrating individual expertise
- Providing an transparent performance and career management experience.
Our consultants are integral to delivering successful consulting engagements, addressing our clients’ most pressing business challenges, and build lasting value in disciplines such as:
- Solve sophisticated, ambiguous business, change and technology problems, bringing structure and meticulous analysis and planning, acting, and taking decisions with little strategic direction
- Build, develop and sustain trusted senior client relationships in the C-suite by remaining highly attuned to client needs
- Drive, enable and support the business, partnering with our leaders, clients, and consultants across our practices to take the best of emagine to our clients through opportunity identification/qualification, solution development/presentation
Interested?
At emagine, we are committed to building an international and diverse team by embracing our different backgrounds.
If you are up to the challenge and would like to find out more, get in touch with us immediately, our internal recruitment team is always keen to hear from dynamic individuals that are looking to further their career and explore their full potential.
“emagine is an equal opportunity employer, and employment practices are based strictly on merit. It is the policy of the Company to give equal opportunity in employment regardless of sex, sexual orientation, marital status, race, age, disability, gender reassignment, pregnancy and maternity, religion or ethnic origin”
“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”
Jessica, London
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