Job
Description
AI Engineer About the Role We are looking for an AI Engineer with the ability to transform proven AI and GenAI concepts and prototypes developed by data scientists into scalable, and production-grade AI applications. This position sits at the critical intersection of software development and data science, requiring both technical depth in AI/ML technologies and strong software engineering fundamentals. Key Responsibilities Transform data science prototypes and concepts into production-ready applications with a focus on scalability, stability, and performance Design and implement robust AI systems leveraging modern LLM technologies, including API integrations, Retrieval Augmented Generation (RAG), and embedding models Develop and maintain backend services and APIs that support AI functionality Implement efficient data pipelines and storage solutions for AI applications Implement comprehensive testing and monitoring for AI systems Required Qualifications Bachelor's degree in computer science, Software Engineering, or related technical field 3+ years of experience in software development with a focus on backend systems Strong proficiency in Python and its ecosystem for AI/ML development Experience with LLM technologies, including API integrations (OpenAI, Anthropic, etc.) Knowledge of RAG architectures, vector databases, and embedding models Clear understanding of software design patterns and principles Experience with Docker Understanding of CI/CD pipelines and DevOps practices Preferred Qualifications Masters degree in computer science, AI, or related field Experience with cloud platforms (AWS, Azure or GCP) Knowledge of AI agent frameworks and orchestration Experience with function calling, tool integration, and AI system planning Experience with monitoring and observability tools for AI systems Contributions to open-source AI/ML projects Experience with model optimization and deployment strategies Skills & Competencies Strong problem-solving abilities and analytical thinking Excellent communication skills to collaborate with both technical and non-technical stakeholders Ability to balance technical debt and delivery timelines Attention to detail, particularly regarding system reliability and security Passion for staying current with rapidly evolving AI technologies Top three skills looking in profiles: Proficiency in Python for AI/ML Development Strong command of Python and its ecosystem is essential for building and scaling AI applications. Experience with LLM Technologies and Architectures Includes API integrations (e.g., OpenAI, Anthropic), Retrieval Augmented Generation (RAG), vector databases, and embedding models. Backend Development and API Engineering Ability to develop and maintain backend services and APIs that support AI functionality. Role & responsibilities Preferred candidate profile
