Artificial Intelligence Engineer
وصف الوظيفة
AI Engineer, Agents Adherence · Abu Dhabi, UAE · Full-time, on-site
About Adherence Adherence builds secure AI agents for enterprises. Our agents work inside an organisation's existing tools and follow its policies and rules. We test every agent thoroughly before deployment and keep improving it from real-world use. Clients can run our solutions on our infrastructure or entirely within their own environment.
The Role As an AI Engineer, you will design, build and improve AI agents for client workflows, from the first requirements to production. You will work closely with clients and with our product and engineering teams to turn business needs into agents that are reliable, secure and measurably useful. The role suits an engineer who holds high technical standards and wants their work in real use.
Responsibilities
- Turn client workflows and requirements into well-designed, working agents.
- Set up rigorous evaluations for agents before and after deployment, and improve them based on the evidence.
- Train and adapt language models where the use case calls for it.
- Integrate agents with enterprise systems and data sources.
- Keep high standards for reliability, scalability, security and data privacy.
- Document your solutions clearly and contribute to our internal platform and tooling.
- Strong software engineering skills in Python, with a record of production-quality code.
- Proven experience building and shipping LLM-based systems to real users.
- Hands-on experience with PyTorch and modern LLM tooling.
- Sound experimental judgement: you design careful tests and read results critically.
- Excellent communication with technical and non-technical stakeholders.
- A Bachelor's or Master's degree in Computer Science, Artificial Intelligence or a related field, or equivalent practical experience.
- Experience fine-tuning language models or applying reinforcement learning to them.
- Experience with agent-based systems and tool use.
- Experience working in secure, regulated or privacy-sensitive environments.
- Published research or meaningful open-source contributions.
- Send your CV to careers@adherence.ae with a short note about one LLM-based system you built and how you knew it worked.
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