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Description
About the Role
We are seeking a dynamic AI Engineer with 5+ years of experience to join our growing team. You will be responsible for designing, building, and deploying cutting-edge AI solutions that deliver autonomous, user-facing capabilities. This role focuses on creating LLM-powered applications & data enrichments, agentic workflows, and intelligent systems that directly impact our users' experiences.
What You'll Do
As an AI Engineer on our team, you will take ownership of end-to-end AI solution delivery, from initial concept through production deployment and ongoing optimization. You'll architect and implement LLM-powered applications & enrichments, multi-agent workflows, and autonomous AI systems that directly impact our users' experiences. Your work will involve orchestrating large language models, building sophisticated prompt engineering frameworks and fine-tuning.
You'll be responsible for deploying and operating these LLM applications at scale, ensuring they perform reliably in production environments. This includes containerizing AI services, implementing deployment pipelines for rapid iteration, and establishing monitoring systems that track both performance metrics and AI-specific indicators like response quality, hallucination rates, and autonomous decision accuracy.
Your role encompasses ensuring our AI systems are production-ready and enterprise-grade. You'll manage the infrastructure that powers our AI applications, optimizing for both performance and cost-effectiveness, establishing automated evaluation frameworks for LLM applications, and building robust fallback mechanisms. You'll ensure our AI systems meet security and compliance requirements while maintaining the ability to rapidly iterate and improve AI capabilities based on user feedback and performance data.
What You'll Bring
- 5+ years of hands-on experience in AI/ML engineering, software development, or related technical roles with demonstrable experience building and deploying AI-powered applications
- Good theoretical knowledge of AI, ML and NLP principles as demonstrated by a bachelor's or master's degree in computer science or equivalent degree.
- Strong programming proficiency in Python and familiarity with Java/Kotlin, with a solid understanding of API design, development and integration patterns
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.
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.
LLM and Generative AI Expertise
- Experience with frameworks such as LangChain, LangGraph, and APIs from OpenAI, Anthropic, etc.
- Demonstrated proficiency in prompt engineering and orchestrating AI agents, chatbots, and autonomous workflows
Cloud, Deployment & Operations Experience
- Familiarity with cloud AI/ML services (Azure preferred, also AWS or Google Cloud), container orchestration (Docker, Kubernetes), CI/CD deployment pipelines, automated testing for LLM applications, infrastructure monitoring, logging, and performance tracking
- Strong problem-solving abilities with experience debugging AI systems, optimizing performance bottlenecks, and implementing scalable solutions
- Collaborative mindset with excellent communication skills to work effectively with cross-functional teams in an agile environment, including product managers, data scientists, and platform engineers
- Continuous learning orientation with demonstrated ability to quickly adopt new AI technologies, frameworks, and best practices in this rapidly evolving field
Nice to Have
- Knowledge of vector databases and RAG (e.g., OpenSearch, ElasticSearch) for semantic search and knowledge retrieval
What We Offer:
- Enjoy flexible paid time off options for enhanced work-life balance.
- Comprehensive health insurance tailored for you.
- Employee assistance programs cover mental health, legal, financial, wellness, and behaviour areas to ensure your overall well-being.
- Complimentary Calm App subscription for you and your loved ones, because mental wellness matters.
- Energetic work environment with a hybrid work style, providing the balance you need.
- Benefit from our family leave program, which grows with your tenure at Meltwater.
- Thrive within our inclusive community and seize ongoing professional development opportunities to elevate your career.
Our Story
At Meltwater, we believe that when you have the right people in the right environment, great things happen.


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Our best-in-class technology empowers our 27,000 customers around the world to make better business decisions through data. But we can’t do that without our global team of developers, innovators, problem-solvers, and high-performers who embrace challenges and find new solutions for our customers.
Our award-winning global culture drives everything we do and creates an environment where our employees can make an impact, learn every day, feel a sense of belonging, and celebrate each other’s successes along the way.
We are innovators at the core who see the potential in people, ideas and technologies. Together, we challenge ourselves to go big, be bold, and build best-in-class solutions for our customers.
We’re proud of our diverse team of 2,200+ employees in 50 locations across 25 countries around the world. No matter where you are, you’ll work with people who care about your success and get the support you need to unlock new heights in your career.
We are Meltwater. Inspired by innovation, powered by people.
Equal Employment Opportunity Statement
Meltwater is an Equal Opportunity Employer and Prohibits Discrimination and Harassment of Any Kind: At Meltwater, we are dedicated to fostering an inclusive and diverse workplace where every employee feels valued, respected, and empowered. We are committed to the principle of equal employment opportunity and strive to provide a work environment that is free from discrimination and harassment.
All employment decisions at Meltwater are made based on business needs, job requirements, and individual qualifications, without regard to race, color, religion or belief, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, marital status, veteran status, or any other status protected by the applicable laws and regulations.
Meltwater does not tolerate discrimination or harassment of any kind, and we actively promote a culture of respect, fairness, and inclusivity. We encourage applicants of all backgrounds, experiences, and abilities to apply and join us in our mission to drive innovation and make a positive impact in the world.
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Jessica, London
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