Full-Time AI Engineer

• Design, develop, and deploy AI solutions.
• Implement Retrieval-Augmented Generation (RAG) and fine-tuning techniques.
• Utilize and integrate AI frameworks like LangChain.
• Use advanced prompt engineering techniques to solve complex problems with LLMs.
• Build and manage agentic frameworks such as CrewAI and Google ADK.
• Apply MLOps best practices to streamline AI development workflows.
• Monitor and trace AI applications performance.
• Collaborate across teams to ensure alignment with traditional ML and AI methodologies.
• Work on end-to-end software engineering for scalable solutions.

• Experience in cloud AI services (Azure, AWS, Google Cloud, etc.).
• Strong understanding of machine learning concepts and traditional AI concepts.
• Experience with MLOps tools and practices (e.g., model deployment, monitoring).
• Solid programming skills in Python or other relevant languages.
• Excellent problem-solving skills and the ability to work in a collaborative environment.

• Experience Azure is a plus
• Experience with Kubernetes is a plus.
• Experience with Google ADK is a plus.
• Experience with n8n or Orkes is a plus.
• Experience in AI Evaluation is a plus.

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