Forward Deployed Engineer (AI)

Location: London, England, United Kingdom; hybrid work opportunities are available.

Company

hirify.global develops AI-native enterprise software for asset management, operations, and critical services at enterprise scale.

What you will do

• Embed with product teams to identify business problems where AI can provide measurable value.
• Lead technical discovery and match business needs to existing AI services or define new capabilities.
• Design and build AI-first applications, data pipelines, model-serving systems, and product integrations.
• Develop and operate LLM, agentic AI, retrieval, and RAG solutions with appropriate authentication, reliability, latency, cost, and observability controls.
• Ship initial versions quickly, then add monitoring, feedback loops, and production-grade reliability.
• Translate stakeholder needs and field insights into technical direction for the AI services roadmap.

Requirements

• 5+ years of software engineering experience building and deploying production systems.
• Strong Python skills and the ability to work across unfamiliar languages and customer codebases.
• Experience with cloud-native services, Kubernetes, Docker, Helm, GitOps or ArgoCD, and Terraform or equivalent infrastructure-as-code tooling.
• Production experience integrating LLMs and AI services, building agentic applications, and designing RAG and retrieval systems with embeddings, vector databases, indexing, and evaluation.
• Experience with REST APIs, enterprise integrations, authentication and authorization, data pipelines, distributed systems, and production ML or data systems.
• Ability to work with product owners, business stakeholders, customers, and engineering teams, turning ambiguous business problems into shipped technical solutions.

Nice to have

• Azure experience, particularly AKS, Blob Storage, Key Vault, and Azure-hosted AI or model services.
• Hands-on MCP experience.
• Experience working in or alongside platform or infrastructure teams.

Culture & Benefits

• Hybrid work opportunities support flexibility and inclusive workplace experiences.
• International environment with colleagues and customers across the globe.
• Collaborative culture focused on innovation, sustainability, and positive impact.
• AI-driven products and internal AI adoption support creative and productive work.