Job Description

Location: Remote (UK) with occasional travel
About Inizio Medical
Inizio Medical is part of Inizio, the world's leading healthcare and communications group. We are a trusted partner to pharmaceutical and healthcare clients, translating complex science into meaningful impact. Our division focuses on evidence-based communications and education for healthcare professionals and payers.
About the Role
We are looking for a hands-on, production-minded AI Engineer to join our growing AI team. This is an exciting opportunity to develop and deploy generative AI and LLM-based applications at scale. You'll work closely with software engineers, data scientists, and product teams to bring advanced AI capabilities into real-world healthcare and life sciences applications.
You'll be at the forefront of deploying agentic AI frameworks and LLM-powered features into production systems, designing AI infrastructure, and establishing best-in-class MLOps and LLMOps practices.
Key Responsibilities

• Design, build, deploy, and maintain scalable AI services and infrastructure using cloud-native tools (Azure and AWS preferred).
• Develop robust backend systems and APIs to support AI workflows and inference pipelines.
• Integrate with third-party LLM APIs and manage usage, rate limits, reliability, and cost efficiency.
• Optimise AI prompting strategies, including chaining, templating, output post-processing and future model output validation.
• Implement modular AI workflows with orchestration logic for latency, cost, and reliability.
• Build and maintain CI/CD pipelines, infrastructure-as-code, and container orchestration (Kubernetes, Airflow, Databricks Jobs).
• Ensure best practices in model tracking, versioning, performance monitoring, logging, and retraining workflows.
• Collaborate with cross-functional teams to align technical delivery with business and product goals.
• Drive performance and cost optimisation for all AI systems.
• Document processes for a range of audiences
• Contribute to a collaborative, low-ego, high-performance engineering culture.

About You

• Strong background in software engineering and production-grade systems.
• Expertise in Python (both backend and AI/ML use cases).
• Experience designing, building, and deploying LLM-powered applications in production.
• Familiarity with transformer architectures and practical handling of LLM context, prompt chaining, and prompt engineering.
• Hands-on experience with MLOps tools like MLflow, Weights & Biases, and orchestration platforms like Kubeflow or Databricks.
• Deep understanding of cloud platforms (especially Azure and AWS), containers, microservices, and event-driven architecture.
• Strong problem-solving and debugging skills, including debugging AI pipelines and multi-model systems.
• Experience with version control and model versioning protocols.
• Demonstrated ability to work in Agile/Scrum environments and drive iterative delivery.
• Comfortable working independently as well as mentoring others in best practices.
• Enthusiastic about improving human health and performance through cutting-edge AI.

Preferable experience:

• Experience with Databricks MLOps and model registry tools.
• Experience fine-tuning LLMs.
• Background in agentic AI frameworks (e.g., LangGraph, AutoGen, CrewAI).
• Contributions to relevant open-source projects.
• Familiarity with monitoring/observability tools like Prometheus, Grafana, Sentry.

What We Offer
Competitive salary and benefits package, including private medical insurance and company pension.
Flexible, remote-first working environment with occasional travel.
The opportunity to work on cutting-edge, impactful AI projects within a global leader in healthcare communications.
A friendly and informal culture that values curiosity, collaboration, and continuous learning.
Ready to Apply?
If you're passionate about deploying AI for real-world impact and thrive in a fast-paced, mission-driven environment, we'd love to hear from you.
Don't meet every job requirement? That's okay! Our company is dedicated to building a diverse, inclusive, and authentic workplace. If you're excited about this role, but your experience doesn't perfectly fit every qualification, we encourage you to apply anyway. You may be just the right person for this role or others.