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RemoteStar

Senior AI Engineer – Spec-Driven Development

United Kingdom
Posted about 21 hours ago
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About the Role

We are looking for a Senior AI Engineer who is experienced in building production-grade AI systems and modern software engineering workflows, particularly Spec-Driven Development (SDD) and Dark Factory / autonomous AI development environments.

You will work closely with engineering and product teams to turn business requirements into precise technical specifications and use AI-assisted development workflows to design, build, test, and deploy reliable software with minimal manual intervention.

Key Responsibilities

  • Design and develop AI/LLM-powered applications and agentic systems for production environments.
  • Drive Spec-Driven Development, translating requirements into detailed, machine-readable specifications, acceptance criteria, workflows, and test cases.
  • Build development workflows where AI agents can autonomously generate, modify, test, and validate code.
  • Work with Dark Factory / AI-native software development concepts, enabling highly automated software delivery.
  • Develop and integrate LLMs, AI agents, RAG pipelines, tool calling, and orchestration frameworks.
  • Design robust prompts, agent workflows, evaluation frameworks, and guardrails.
  • Build APIs and backend services supporting AI applications.
  • Establish automated testing, validation, CI/CD, observability, and quality-control processes for AI-generated code.
  • Collaborate with product and engineering teams to convert ambiguous requirements into clear technical specifications.
  • Evaluate and improve AI-generated solutions for accuracy, reliability, security, scalability, and maintainability.
  • Mentor engineers and help establish best practices for AI-assisted software development.

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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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.

Required Skills & Experience

  • 5+ years of software engineering experience, with significant experience in AI/ML or LLM-based application development.
  • Strong hands-on experience with Python and modern backend development.
  • Strong understanding of LLMs, generative AI, AI agents, RAG, embeddings, vector databases, and tool/function calling.
  • Practical experience with Spec-Driven Development (SDD) or similar specification-first engineering methodologies.
  • Understanding or hands-on experience with Dark Factory / autonomous software development / AI-native engineering workflows.
  • Experience working with AI coding agents and tools such as Claude Code, Cursor, Codex, GitHub Copilot, OpenAI tools, or similar platforms.
  • Strong knowledge of software architecture, APIs, microservices, Git, CI/CD, testing, and cloud platforms.
  • Experience designing automated test and evaluation frameworks for AI systems.
  • Ability to break complex product requirements into precise specifications that AI agents and engineering teams can execute against.
  • Strong understanding of production software engineering practices and code quality.

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What We're Looking For

We are looking for someone who is not simply an AI/ML developer, but an engineer who understands how AI can fundamentally change the software development lifecycle.

The ideal candidate thinks in terms of:

  • Specification → AI-driven implementation → Automated testing → Validation → Deployment → Continuous improvement

You should be comfortable experimenting with new AI development tools, building autonomous workflows, and pushing toward a highly automated engineering environment.

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Skills

Python
LLMs
Generative AI
AI Agents
RAG
Vector Databases
Spec-Driven Development
Software Architecture
CI/CD
API Development
Microservices
Prompt Engineering
Tool Calling
Automated Testing
Cloud Platforms
Backend Development

Location

United Kingdom

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