AI Engineer

HUXLEY
United States
4 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
3 years minimum
Working hours
Regular working hours
Languages
English
Job source

Tech stack

Agile Methodology Artificial Intelligence Microsoft Azure Cloud Computing Information Engineering Python (Programming Language) Search Technologies Software Engineering Strategies of Testing Spring Cloud Retrieval-Augmented Generation Large Language Models
+7 more
Prompt Engineering Backend Information Technology Machine Learning Operations Front End Software Development Api Design Software Version Control

Job description

Our client is seeking an experienced AI Engineer to take AI and Generative AI solutions from architectural design through to production-ready implementation. This is a senior technical leadership role with a strong hands-on component, responsible for guiding engineering teams, ensuring delivery quality, and driving the successful deployment of innovative AI-powered solutions.

The successful candidate will play a key role in developing scalable, secure, and maintainable AI applications while collaborating closely with architects, product owners, stakeholders, and operational teams.

Requirements

  • Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or a related discipline, or equivalent practical experience.
  • Minimum 7 years of experience across software engineering, AI, cloud technologies, data engineering, or related technical domains.
  • At least 3 years of technical leadership experience within software or AI-focused teams.
  • Strong software development expertise across backend and front-end technologies, ideally with Python.
  • Experience building APIs, scalable applications, and enterprise-grade solutions.
  • Proven hands-on experience with:
  • Large Language Models (LLMs)
  • RAG architectures
  • Prompt engineering
  • Vector search technologies
  • AI-powered workflows and automation
  • Experience developing and deploying cloud-native applications, preferably within Microsoft Azure.
  • Strong understanding of:
  • Software testing methodologies
  • CI/CD pipelines
  • Version control systems
  • Observability and monitoring
  • Security best practices
  • Production support operations
  • Knowledge of MLOps, LLMOps, data engineering concepts, and secure integration patterns.
  • Track record of delivering secure, scalable, production-ready solutions within Agile environments.
  • Excellent communication, stakeholder management, collaboration, and mentoring skills.
  • Strong interest in emerging AI technologies and innovation.
  • Fluent English language skills.

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