Location: Remote – Must be UK based
Type: Full-Time
Salery: £60,000-£166,000 depending on experience
Industry: AI / Enterprise GenAI / Agentic Systems

Are you building production-grade GenAI systems — not just demos?

We’re partnering with a cutting-edge AI organisation delivering transformative, agentic AI solutions to enterprise clients. They are looking for a Senior GenAI Solutions Engineer to embed with customers, lead deployments, and build bespoke AI systems that drive measurable business impact.

This is a high-ownership, customer-facing role at the intersection of AI engineering, cloud deployment, and strategic solution delivery.

What You’ll Be Doing

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Design and deploy enterprise-grade RAG and multi-agent systems

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Build transformative agentic AI solutions using tools such as LangChain and LangGraph

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Lead technical delivery from prototype to stable production release

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Deploy ML systems across AWS, Azure, or GCP environments

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Embed within client teams to co-develop AI solutions aligned to KPIs

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Conduct technical debugging and root cause analysis

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Rapidly prototype innovative AI systems in ambiguous environments

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Drive adoption and demonstrate measurable business outcomes

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Implement best practices across AI engineering, DevOps, and MLOps

What We’re Looking For

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Proven experience building GenAI applications (RAG, multi-agent systems, fine-tuning)

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Strong understanding of Model Context Protocols, A2A Protocols, Agent Developer Kits, and LLM orchestration and evaluation

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Experience deploying production-grade ML/GenAI systems in cloud environments (AWS, Azure, or GCP)

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Strong hands-on data science expertise (pandas, scikit-learn, PyTorch, etc.)

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DevOps and infrastructure experience including Docker, Kubernetes, Terraform, CI/CD pipelines (GitHub Actions, Jenkins, CircleCI), and GitOps workflows

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Full-stack engineering capability (Python, JavaScript or similar stacks)

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Experience in customer-facing technical roles (5+ years)

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Ability to communicate complex AI concepts to both technical and non-technical audiences

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Strong risk awareness and proactive problem-solving mindset

Ideal Profile

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Have scoped and delivered complex systems in fast-moving, ambiguous environments

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Understand how AI model behaviour impacts product experience

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Can move seamlessly between engineering teams and executive stakeholders

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Take ownership of delivery and outcomes — not just code

Education

Graduate degree in Computer Science, Engineering, Statistics, Operations Research, or equivalent practical experience.

Why Join?

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Work on truly transformative AI deployments

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High autonomy and ownership

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Fully Remote working options

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Direct client impact with measurable KPI outcomes

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Opportunity to shape next-generation agentic AI systems

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Fast-growing, innovation-driven environment

First round interviews are being arranged, please send in your CV for a confidential discission