Forward Deployed Engineer

Forward Deployed Engineer

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

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

* Build transformative agentic AI solutions using tools such as Lang Chain and Lang Graph

* Lead technical delivery from prototype to stable production release

* Deploy ML systems across AWS, Azure, or GCP environments

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

* Conduct technical debugging and root cause analysis

* Rapidly prototype innovative AI systems in ambiguous environments

* Drive adoption and demonstrate measurable business outcomes

* Implement best practices across AI engineering, Dev Ops, and MLOps

What We’re Looking For

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

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

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

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

* Dev Ops and infrastructure experience including Docker, Kubernetes, Terraform, CI/CD pipelines (Git Hub Actions, Jenkins, Circle

CI), and Git Ops workflows

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

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

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

* Strong risk awareness and proactive problem-solving mindset

Ideal Profile

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

* Understand how AI model behaviour impacts product experience

* Can move seamlessly between engineering teams and executive stakeholders

* 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?

* Work on truly transformative AI deployments

* High autonomy and ownership

* Fully Remote working options

* Direct client impact with measurable KPI outcomes

* Opportunity to shape next-generation agentic AI systems

* Fast-growing, innovation-driven environment

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