Queen Square Recruitment
Artificial Intelligence Engineer

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New Exciting opportunity for the role of AI Engineer
Location: London/ Coventry, UK (2 to 3 days client office)
Contract Duration: 1 Year
IR35 Status: Inside IR35
The Role
Required experienced AI Expert Engineer with 10+ years of software engineering experience and strong expertise in .NET technologies, Kafka-based event-driven architectures, AI/ML solution development, and cloud-native platforms. The ideal candidate will be responsible for designing, developing, and deploying enterprise-scale intelligent applications that leverage Generative AI, machine learning, distributed systems, and real-time data processing.
Candidate will collaborate with cross-functional teams to build scalable AI-powered solutions, drive innovation, and establish best practices for modern software architecture, integration, and automation.
Your Profile
Essential skills/experience:
- Bachelor's or Master's degree in Computer Science, Engineering, Artificial Intelligence, or a related field.
- 10+ years of hands-on experience in software engineering and enterprise application development.
- Proven experience delivering large-scale distributed systems and cloud-based applications.
- Strong expertise in C#,.NET Core/.NET Framework, ASP.NET Core, and Microservices Architecture.
- Demonstrated experience implementing AI/ML and Generative AI solutions in enterprise environments.
- Strong knowledge of software design patterns, clean architecture, and domain-driven design principles.
- Experience working in Agile/Scrum delivery environments.
- Excellent analytical, problem-solving, communication, and stakeholder management skills.
- Ability to lead technical discussions, architecture reviews, and solution design workshops.
- Experience working with globally distributed teams and complex enterprise ecosystems.
- Monitor production environments and troubleshoot complex issues across distributed systems.
- Ensure compliance with enterprise security, governance, and responsible AI practices.
- Evaluate emerging AI technologies and recommend innovative solutions to improve business outcomes.
- Mentor junior and senior engineers and contribute to technical capability development across the organization.
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.
Desirable skills/experience:
AI & Generative AI
- Hands-on experience with OpenAI, Azure OpenAI, Anthropic Claude, Gemini, or similar LLM platforms.
- Experience building RAG solutions using vector databases.
- Knowledge of prompt engineering, AI agents, autonomous workflows, and conversational AI.
- Familiarity with LangChain, Semantic Kernel, AutoGen, LangGraph, or equivalent orchestration frameworks.
- Experience with AI observability, model evaluation, and responsible AI practices.
- Understanding of machine learning lifecycle (MLOps) and model deployment strategies.


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###.NET Technologies
- Expert-level proficiency in C#, ASP.NET Core,.NET 6/7/8.
- Experience with Entity Framework Core, LINQ, Dependency Injection, and Web APIs.
- Strong understanding of multithreading, asynchronous programming, and performance optimization.
- Experience with gRPC, GraphQL, and distributed application design patterns.
Kafka & Event Streaming
- Extensive experience with Apache Kafka, Kafka Streams, Kafka Connect, and Schema Registry.
- Expertise in designing event-driven and asynchronous architectures.
- Knowledge of message serialization formats such as Avro, JSON, and Protobuf.
- Experience implementing fault-tolerant, high-throughput, low-latency streaming systems.
- Hands-on experience with event sourcing and CQRS patterns.
“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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