Senior Applied AI Engineer (AI)

TL;DR

Senior Applied AI Engineer (AI): Building the AI platform to power hirify.global products, with an accent on shaping how AI capabilities are designed, deployed and scaled. Focus on reliability, latency, cost efficiency and scalability of LLM workloads in production environments.

Location: Remote - UK

Company

hirify.global is transforming health with a cutting-edge platform that integrates diagnostics, medication, supplements, digital programs, and doctor consultations.

What you will do

• Design and build LLM-powered agents and orchestration workflows.
• Build and maintain robust evaluation pipelines for prompts, agents and conversation quality.
• Develop retrieval-augmented generation architectures, retrieval pipelines and long-term memory integrations.
• Implement observability, tracing and debugging tooling to monitor AI system behavior and maintain production health.
• Build backend services and APIs to enable AI capabilities across multiple products.
• Collaborate closely with Product, Engineering and Clinical stakeholders to define requirements and shape technical approaches for AI-driven capabilities.

Requirements

• Motivated to build AI systems that deliver meaningful, positive impact in healthcare.
• Demonstrated track record of taking AI-powered features from prototype through to production deployment.
• Strong backend engineering experience, preferably in Python, including designing scalable APIs, distributed systems, asynchronous processing and working with Docker and CI/CD pipelines.
• Hands-on experience building LLM-powered applications, including familiarity with agent frameworks such as LangChain, LangGraph or similar, and designing retrieval-augmented generation pipelines at scale.
• Systems-oriented and reliability-focused approach, with experience designing end-to-end AI architectures and working with observability, logging and production monitoring tools.
• Comfortable working across the full development lifecycle, from architecture decisions through deployment and monitoring.

Nice to have

• Built or contributed to multi-agent systems.
• Worked with LLM evaluation frameworks and dataset-driven testing approaches.
• An understanding of safety systems, guardrails and policy enforcement mechanisms.
• Led or supported prompt lifecycle management and versioning at scale.
• Used vector databases such as pgvector, Qdrant or Pinecone.

Culture & Benefits

• Share options.
• 25 days holiday, plus bank holidays (increasing to 30 the longer you stay with hirify.global).
• Health insurance with Vitality.
• Flexible working options, including a dog-friendly office in Farringdon.
• Personal training and development budget via Learnerbly.
• Cycle to work scheme.