Design, develop and deploy AI agents and AI-powered applications for enterprise and ERP use cases.
Build practical agentic AI workflows using suitable orchestration frameworks.
Research and evaluate emerging AI technologies, frameworks and approaches to identify solutions for new use cases.
Develop and integrate AI capabilities into existing enterprise applications and systems.
Work with Python and, where required, Node.js to develop AI applications and integrations.
Design AI workflows that can interact with enterprise systems, data and business processes.
Develop, test, troubleshoot and optimize AI solutions for production environments.
Collaborate with AI Engineers, Senior Engineers and other technical teams to integrate AI capabilities into the existing architecture.
Deploy and maintain AI solutions in real-world production or client environments.
Troubleshoot technical issues and continuously improve the reliability, performance and scalability of AI applications.
Translate business and client requirements into practical AI-driven solutions.
Stay up to date with developments in AI agents, LLM technologies, orchestration frameworks and AI application development.
Requirements
2–3 years of relevant experience in AI/ML Engineering, AI Application Development or a closely related field.
Candidates with stronger or more extensive experience are also encouraged to apply.
Strong hands-on experience developing AI applications or AI agents.
Practical experience taking AI solutions from development through to production deployment.
Strong Python programming skills.
Experience integrating AI solutions with existing applications, APIs, databases or enterprise systems.
Strong problem-solving and troubleshooting capabilities.
Ability to independently research new technologies and learn unfamiliar tools or frameworks.
Strong adaptability and willingness to work with emerging technologies and new AI use cases.
Ability to explain and demonstrate AI projects that you have personally developed and implemented. 
