AI Engineer

Via Match
London, United Kingdom
3 weeks ago
£70,000 – £130,000 pa
Applications closed

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Senior AI Engineer - Applied

PhysicsX London, United Kingdom

Salary

£70,000 – £130,000 pa

Job Type
Permanent
Work Pattern
Full-time
Work Location
Hybrid
Seniority
Mid
Education
Degree
Posted
30 Apr 2026 (3 weeks ago)

Benefits

Highly competitive salary and bonus Personal learning budget Freedom to choose your own equipment and setup

This role is being handled by Via, a secure hiring platform used by employers to review candidates.

After applying, you will be invited to create your profile on the Via platform. Your profile stays anonymous until you match.


AI Engineer
  • £70,000 – £130,000
  • Central London (Hybrid – 2–3 days in office)
  • High-growth, well-funded AI business

Via is supporting a rapidly scaling, well-backed AI company in their search for exceptional AI Engineers. This is a rare opportunity to join a business at the forefront of applied AI, building real-world, production-grade systems powered by large language models.

If you’re excited by solving complex problems, working with cutting-edge tooling, and seeing your work deployed at scale, this is the kind of role that will accelerate your career fast.

The Opportunity

You’ll play a key role in designing and deploying sophisticated AI systems used in real-world environments. This is not a research-only role – you’ll be building, shipping, and continuously improving production applications that deliver tangible impact.

You’ll work alongside highly capable engineers in a collaborative, fast-moving environment where experimentation, iteration, and innovation are actively encouraged.

What You’ll Be Doing
  • Designing and building production-grade AI systems using LLMs
  • Developing RAG pipelines, vector search solutions, and agent-based workflows
  • Creating robust evaluation frameworks to measure accuracy, reliability, and performance
  • Building scalable APIs, services, and data pipelines
  • Implementing observability, monitoring, and feedback loops to continuously improve outputs
  • Optimising models and prompts for latency, cost, and quality across different providers
What We’re Looking For
  • Experience building applications using LLM APIs, with a strong understanding of their strengths and limitations
  • Hands-on experience with RAG architectures, vector databases, and prompt engineering
  • Experience developing multi-step workflows or agentic systems (frameworks or custom builds)
  • Strong programming skills (Python or similar), with experience building production systems
  • Solid understanding of cloud environments (AWS, GCP, or Azure)
  • Experience with distributed systems, CI/CD, testing, and deployment pipelines
  • Strong data handling skills (SQL, pandas) and an understanding of evaluation strategies for AI systems
  • Comfortable working in ambiguous environments and iterating on non-deterministic systems
Bonus Experience (Nice to Have)
  • AI-assisted development tools (e.g. Copilot, Codex, Claude Code)
  • Fine-tuning models and understanding when to use it vs RAG or prompting
  • Experience with real-time systems, multimodal AI, or search technologies
  • Familiarity with observability tooling and cost optimisation strategies
  • Experience in regulated or complex industries (e.g. finance, healthcare, energy)
  • Exposure to agent orchestration, tool usage, and guardrails
What’s On Offer
  • Highly competitive salary and bonus
  • The chance to work on genuinely cutting-edge AI problems
  • A collaborative, high-performance engineering culture
  • Strong financial backing and ambitious growth plans
  • Clear progression opportunities as the company scales
  • Personal learning budget to accelerate your development
  • Freedom to choose your own equipment and setup
Why Apply?

This is an opportunity to move beyond theory and into real-world AI impact – building systems that are used, tested, and scaled. You’ll be joining at a pivotal stage, where your work will directly shape both the product and the future of the business.

Register your details on Via to progress your application. Create one profile and be matched to this role and other relevant opportunities,including roles advertised exclusively on Via.

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