You will accompany decision-making committees and play an active role in the preparation of management reports
After a short time, you will take on independent tasks in IT projects
By working at different locations, business areas, and Group units, you will have the opportunity to get to know the Group intensively and build up a Group-wide, international network
...
Conduct rigorous testing and provide ongoing maintenance for applications to uphold performance and reliability standards.
Cultivate deep insights into clients' businesses and industries, leveraging this understanding to identify and capitalize on new opportunities for innovation and improvement.
Foster strong client relationships through clear and effective communication, collaborating closely with both clients and superiors to achieve project success.
...
Must be able to manage database processes and reporting structures
Extract and analyse data from core business systems such as engineering softwares, CRM,ERP, excel, or operational platforms using SQL or other appropriate methods.
Validate data accuracy, completeness, consistency; identify gaps or anomalies
...
Collaborate and design solutions for the challenging yet unique problems across hardware and software platforms, including servers, RAID, and various operating systems (Windows and Linux).
Participate in planning and coordinating significant technical investigations from problem statement to conclusion.
Creates design documents pertinent to the various phases of firmware development.
...
Job SummaryWe are looking for a hands-on AI Engineer to design, develop, integrate, and deploy Generative AI, AI chatbot, and Agentic AI solutions. The role will focus on building practical AI applications and integrating LLM capabilities with existing applications, APIs, databases, and enterprise systems.Key ResponsibilitiesDesign and develop AI chatbots, copilots, and LLM-powered applications.Build Agentic AI solutions with reasoning, tool/function calling, multi-step task execution, and workflow automation.Implement RAG, embeddings, vector search, prompt engineering, and conversational memory.Work with commercial and open-source LLMs and select appropriate models based on business and technical requirements.Integrate AI solutions with REST APIs, databases, CRM/ERP systems, and enterprise applications.Develop AI integration services and APIs for existing systems and business workflows.Evaluate and optimize AI solutions for accuracy, reliability, latency, scalability, security, and cost.Collaborate with software engineers, architects, product teams, and business stakeholders.Keep up to date with developments in Generative AI, LLMs, Agentic AI, and AI automation.RequirementsBachelor's degree in Computer Science, AI/ML, Software Engineering, or a related field.3+ years of experience in AI/ML engineering, software engineering, or a related role.Hands-on experience developing LLM applications, AI chatbots, or Generative AI solutions.Practical experience with AI Agents, Agentic AI, tool/function calling, or AI workflow automation.Experience with open-source LLMs such as Llama, Qwen, Mistral, Gemma, or equivalent.Strong Python programming and software engineering skills.Experience with REST APIs, system integration, databases, and cloud/on-premise environments.Hands-on experience with RAG, vector databases, embeddings, and prompt engineering.Experience with frameworks such as LangChain, LangGraph, LlamaIndex, Semantic Kernel, AutoGen, CrewAI, or equivalent.Experience with LLM platforms such as OpenAI, Azure OpenAI, Anthropic, Gemini, and/or open-source models.Familiarity with Docker, Git, CI/CD, and production deployment.Preferred SkillsExperience serving open-source LLMs using vLLM, Hugging Face, Ollama, or equivalent.Experience with MCP, multi-agent systems, LLM evaluation/observability, fine-tuning, LoRA/QLoRA, or model optimization.Experience with AWS, Azure, or Google Cloud.Knowledge of AI security, data privacy, access control, and responsible AI.