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The DGU Global DGU Data & AI Strat, Gov & Tech CoE is looking to recruit an AI and GenAI Engineer to support the development of GenAI- and LLM-based solutions and work on AI/GenAI components integration.
Job Responsibility:
Support the development of GenAI- and LLM-based solutions, applying techniques such as Retrieval-Augmented Generation (RAG) and integrating generative models into enterprise applications
Collaborate in the technical design and implementation of AI/GenAI components, both on the frontend and backend, under the guidance of senior architects
Participate in the integration of AI models with APIs, cloud services, and vector databases
Contribute to the design and optimization of CI/CD pipelines and DevOps practices in Azure (or equivalent cloud environments)
Stay up to date with emerging trends in GenAI, LLMs, and AI frameworks, proposing improvements and new ideas
Assist in technical documentation and collaborate with multidisciplinary teams (Data Science, Engineering, and Business)
Ensure quality, scalability, and security of developed applications by applying coding and architectural best practices
Participate in innovation projects and Proofs of Concept (PoCs) to test new GenAI approaches and tools
Requirements:
Degree, Master's, or Doctorate in engineering or related field
2–5 years of professional experience in software development, data engineering, or AI, with interest and applied knowledge in GenAI and AI architectures
Hands-on experience integrating and using generative models (LLMs) within applications or workflows
Proficiency in programming languages such as Python, JavaScript/TypeScript, or C#
Knowledge of AI/GenAI frameworks and libraries, such as LangChain, LlamaIndex, Hugging Face, OpenAI API, etc.
Familiarity with cloud services (Azure, AWS, or GCP) and basic understanding of distributed application architectures
Basic knowledge of CI/CD, DevOps, and containerization tools (Docker, Kubernetes)
Experience collaborating with Data Science and Software Engineering teams
Fast learner with curiosity and motivation to explore new AI/GenAI solutions focused on business value
Strong analytical and problem-solving skills
Ability to work collaboratively across multidisciplinary teams
Excellent communication skills, capable of translating technical concepts into business language
Proactive mindset with a focus on innovation, continuous improvement, and operational excellence
What we offer:
Positive and innovative work environment that promotes collaboration and agile decision-making
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