A leading technology organisation is seeking a Senior AI Engineer AWS/ GCP Cold with 2-4 years of hands-on experience in AI solution development, particularly in AI solution design, development and deployment.
Your new role
Your new role as a Senior AI Engineer, you will be responsible for:
Key Responsibilities:
- Write efficient and maintainable code following best practices in software engineering.
- Working with DevSecOps tools for deploying and versioning code.
- Conduct thorough research and analysis of retrieval techniques, language models, and generative AI methodologies.
- Collaborate with data engineers to ensure data pipeline efficiency and accuracy.
- Continuously iterate and refine retrieval augmented generation (RAG) methods and processes based on experimentation, analysis, and feedback. This will include embedding, chunking, loading, and search algorithm setup.
- Experiment with different retrieval strategies, including information retrieval, nearest-neighbor searches, or knowledge graph-based retrievals, to augment generative AI models.
- Algorithm Optimization - Optimize and fine-tune AI models for performance, scalability, and accuracy.
- Work closely with cross-functional teams, including product managers, data scientists, and software engineers, to understand requirements and deliver AI-driven solutions.
- Present findings and insights to stakeholders and contribute to strategic decision-making.
- Document AI models, algorithms, and processes thoroughly.
- Prepare technical reports and presentations to communicate results and methodologies.
- Stay up to date with the latest advancements in AI and machine learning technologies.
- Participate in Agile ceremonies with the team to execute on prioritized projects and features.
- Implement automated testing and monitoring techniques to ensure the accuracy and reliability of AI systems.
Education:
- Candidates are evaluated case-by-case but appreciate qualifications in quantitative, scientific and technology disciplines such as Mathematics, Statistics, Computer Science, Data Science, Analytics, Physics, and Bioinformatics.
What you'll need to succeed
- 2-5 years of experience in AI Engineering.
- Strong programming skills in Python.
- Familiar in building scalable AI Solutions within a modern technology stack which includes cloud services, data pipelines, database, and other necessary tooling.
- Familiar with CI/CD and test-driven development
- Experience in building Restful APIs for AI models.
- Familiar with of machine learning concepts (i.e. neural networks, optimization algorithms, evaluation metrics).
- Familiar with Retrieval Augmented Generation (RAG) techniques
- Familiarity with prompt engineering techniques, such as instruction design, template-based approaches, rule-based conditioning, or fine-tuning strategies.
- Strong communication and collaboration skills.
- Must be analytical, detail-oriented, and able to manage multiple projects simultaneously.
Preferred:
- Experience working in an Agile Methodology.
- Additional programing languages such as Node.js / TypeScript, C#, or Java
- Demonstrated experience in developing and refining prompts for generative AI models, preferably in creative or text generation domains.
- Experience with AWS Cloud.
- Experience with building, deploying, and managing docker images.
What you'll get in return
In return, you'll be part of an organisation that values its employees. You will have a structured career growth and plenty of global developmental opportunities.
What you need to do now
If you're interested in this role, click apply now to forward an up-to-date copy of your CV, or email [Confidential Information] for a confidential discussion on your career. Referrals are welcome.
If this job isn't quite right for you, but you are looking for a new position within Cloud & DevOps, AI & Machine Learning, please contact us as well.
EA Reg Number: R1988154
EA License Number: 07C3924 | Company Registration No: 200609504D
