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• £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.

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.

• 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

• 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

• 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

• 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

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.

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