Career

Arkus AI is on a mission to revolutionise precision medicine through intelligent, AI-powered technologies. We are building autonomous AI agents and a robust AI agent platform to support clinicians, researchers, and healthcare administrators in solving some of the most complex challenges in medicine.

We are looking for a Senior AI Engineer who combines deep AI/LLM expertise with strong back-end engineering skills. In this role, you’ll play a critical part in the development of both the AI agents and platform infrastructure for the demands of real-world healthcare applications.

What You’ll Do

• Design, build, and deploy intelligent AI agents capable of autonomous task execution, reasoning, and interaction
• Architect and develop the AI agent platform, including APIs, orchestration logic, memory systems, and tool integrations
• Build and maintain robust back-end services, databases, and cloud infrastructure supporting real-time AI operations.
• Implement LLM-driven capabilities using APIs or open-source models, enabling agents to interact with external systems and healthcare data.
• Develop scalable, secure, and maintainable systems with a focus on performance, privacy, and compliance.
• Mentor junior engineers and contribute to team-wide standards and practices.
• Build and improve RESTful APIs.
• Design and manage databases (SQL).
• Write unit and integration tests.
• Lead junior developers

What We’re Looking For

• 6+ years of experience in software or AI engineering, with a track record of building production-grade AI and back-end systems
• Deep understanding of LLMs, agent architectures, and frameworks like LangChain, LangGraph, AutoGPT, or similar
• Strong programming skills in Python for AI, and Node.js/TypeScript or similar for back-end development
• Experience designing and deploying RESTful APIs, managing SQL/NoSQL databases, and working with event-driven architectures
• Familiarity with Docker, Kubernetes, CI/CD, and observability tools (e.g., Grafana, Prometheus)
• Strong experience with vector databases (e.g., FAISS, Pinecone) and retrieval frameworks
• Bonus: Experience in healthcare systems (e.g., FHIR, EHRs) or regulated environments (e.g., HIPAA/GDPR compliance)
• Ability to balance hands-on coding with system design and architectural planning
• Excellent communication and cross-functional collaboration skills

Why Join Arkus AI?

• Help shape the future of AI agents in healthcare.
• Work on cutting-edge problems at the intersection of AI and system engineering.
• Join a fast-moving, mission-driven team with real clinical impact
• Competitive salary, equity, and hybrid work flexibility
  

> Apply now

If you are passionate to apply your excellent AI learning and skills to make a difference, then we’d like to hear from you!

We are looking for an AI Engineer to join our team at Arkus AI, where we are building a cutting-edge AI Agent platform to transform personalised medicine and improve healthcare outcomes. In this role, you will contribute to the development of intelligent agents using technologies such as OpenAI, LangChain, and other large language models (LLMs). You’ll work under the guidance of senior engineers and gain hands-on experience in developing real-world AI solutions for the healthcare domain.

Responsibilities

• Assist in designing, developing, and integrating AI agents to solve real-world healthcare challenges.
• Implement and fine-tune LLM-based agents for coordination, automation, and reasoning.
• Develop custom tools and components to extend AI agent capabilities.
• Support the use of human-in-the-loop (HITL) strategies to ensure output quality and reliability.
• Help incorporate AI safety, compliance, and ethical principles into system design.
• Participate in building and maintaining testing pipelines to improve reliability and performance.

Key Qualifications

Compulsory

• Strong programming skills in Python, with the ability to write clean, modular code.
• Basic understanding of AI agent frameworks such as LangChain
• Fluent in large language models (LLMs) and APIs like OpenAI or similar.
• Understanding of version control tools such as Git.
• Eagerness to learn and apply concepts like prompt engineering, agent memory, and tool/function calling.
• Good problem-solving skills and ability to work collaboratively in a team environment.

Nice-to-Have

• Exposure to retrieval-augmented generation (RAG) pipelines.
• Awareness of AI safety, ethical AI practices, and agent security concerns.
• Familiarity with human-in-the-loop (HITL) systems or reinforcement learning from human feedback (RLHF).
• Good understanding of testing and debugging AI systems, including unit or integration testing.

This is a unique opportunity to gain experience at the frontier of AI development while contributing to solutions that can save lives. Join us in making the mission possible.

Please send your application along with your CV and transcripts

> Apply now