A
AI Engineer
Actively Hiring
Full-time Posted 2 months ago
Responsibilities
- check_circle Implement and test scalable AI/ML solutions in backend environments, ensuring integration with existing systems.
- check_circle Design, develop, and optimize AI/ML systems tailored to business needs.
- check_circle Document technical designs, implementation details, and operational workflows to support AI-driven applications.
- check_circle Stay up to date with the latest advancements in Generative AI, LLMs, and classical ML, identifying opportunities to apply them in research and commercial projects.
Basic qualifications
- Degree in Computer Science, Artificial Intelligence, Information Technology, or a related field.
- 2+ years of experience in AI, machine learning, or a related role.
- Hands-on experience with Generative AI/LLMs, traditional Machine Learning, and Deep Learning.
- Strong understanding of modern API design and RESTful principles for AI system integration.
- Experience with Git and modern version control workflows.
- Excellent communication skills in English, both verbal and written, with the ability to document and present technical concepts effectively.
- Specialized knowledge in cutting-edge AI technologies, including LLMs and multi-agent systems, demonstrating a commitment to staying at the forefront of advancements.
- Hands-on experience with Transformers and Retrieval-Augmented Generation (RAG) for AI-driven search and knowledge retrieval.
- Relevant experience in Natural Language Processing (NLP).
- Hands-on experience with FastAPI and asynchronous programming.
- Prior experience working with Docker and Kubernetes for containerized AI deployments.
- Familiarity with Cloud Platforms such as AWS, Azure, or Google Cloud Platform.
- We highly encourage candidates to share their GitHub repositories or code samples, as practical implementation is a key differentiator.
Benefits
- check_circle Competitive compensation package
- check_circle Private health coverage
- check_circle Opportunity to work with international clients and partners
- check_circle Tailored training programme and access to cut-edge skills.
- check_circle Flexible working model (hybrid – office and remote work)
- check_circle Friendly, pleasant and creative working environment
Tags & Focus Areas
Fulltime Remote Ai Ai Engineer Machine Learning Data Science