AI Engineer
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Role details
Tech stack
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Job description
We are looking for an AI Engineer to design, develop, deploy and support production-ready Agentic AI solutions for enterprise applications. The successful candidate will contribute to the development of intelligent AI agents, analytics solutions and cloud-based AI applications using modern software engineering practices. The role involves close collaboration with technical teams and business stakeholders to deliver scalable, secure and maintainable AI solutions. Key Responsibilities
- Design, develop and maintain Agentic AI solutions and AI-powered applications.
- Build intelligent AI agents using GitHub Copilot and modern AI engineering practices.
- Develop scalable applications using Python and SQL / PL-SQL.
- Build and optimise AI workflows, orchestration pipelines and business automation solutions.
- Integrate AI applications with enterprise data platforms and cloud services.
- Develop analytics and visualisation solutions to support business decision-making.
- Collaborate with business stakeholders to understand requirements and translate them into technical solutions.
- Develop, test and deploy production-ready AI applications following software engineering best practices.
- Support production environments, troubleshoot technical issues and contribute to continuous improvement.
- Create technical documentation and participate in code reviews., Opportunity to work on innovative AI and Agentic AI projects. Exposure to enterprise-scale cloud and AI technologies. Collaborative and international working environment. Learning and professional development opportunities. Flexible working arrangements, subject to project requirements.
Requirements
- Strong experience in:
- Python development
- SQL / PL-SQL
- Building Agentic AI / AI Agent solutions
- GitHub Copilot implementation
- Analytics and problem solving
- Data visualisation
- REST API development
- AI application deployment and production support
- Good understanding of:
- Software engineering best practices
- CI/CD pipelines
- Git version control
- Cloud platforms (AWS and/or Azure)
- Linux and Windows environments
Preferred Skills
- Snowflake
- Power BI
- LangChain
- LangGraph
- CrewAI
- AutoGen
- Semantic Kernel
- OpenAI Agents SDK
- Retrieval-Augmented Generation (RAG)
- Function Calling / Tool Calling
- Prompt Engineering
Education
bachelor’s degree or higher in Computer Science, Software Engineering, Artificial Intelligence, Data Science, Information Technology or a related discipline.
Equivalent professional experience will also be considered.
Language Requirements
Professional proficiency in English (written and spoken).
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