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Queen Square Recruitment

Artificial Intelligence Engineer

London
Posted about 21 hours ago
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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.

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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.

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Graduate Consultant — 2026 Scheme

PwC·London, UK
£35,000/yr

Why you're a good match

Strong

Your 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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It 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.

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Strong

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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Strong

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.
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Skills

C#
.NET Core
Apache Kafka
Generative AI
Machine Learning
Cloud-native platforms
Microservices Architecture
Distributed systems
Event-driven architecture
RAG solutions
Prompt engineering
Agile
Scrum
Domain-driven design
Software architecture
Azure OpenAI

Location

London, England, United Kingdom

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