Senior AI Engineer

We are: Wizeline, a global AI-native technology solutions provider, develops cutting-edge, AI-powered digital products and platforms. We partner with clients to leverage data and AI, accelerating market entry and driving business transformation. As a global community of innovators, we foster a culture of growth, collaboration, and impact. With the right people and the right ideas, there’s no limit to what we can achieve Are you a fit? Sounds awesome, right? Now, let’s make sure you’re a good fit for the role: Key Responsibilities • Deep knowledge of AI and ML frameworks, with a focus on NLP, predictive modeling, data analysis, and generative AI. • Design, build, and deploy advanced Machine Learning and Generative AI solutions on AWS Bedrock, with emphasis on Large Language Models (LLMs), AI Agents, Retrieval-Augmented Generation (RAG), and large-scale search. • Integrate and optimize foundation models on AWS Bedrock for enterprise use cases, ensuring scalability, security, and compliance in dedicated AWS environments. • Collaborate with data scientists, data engineers, and product teams to transform complex problems into cloud-native, production-ready AI solutions on AWS. • Run experiments, explore novel algorithms, and leverage AWS Generative AI and Bedrock capabilities to maximize performance, user experience, and business outcomes. • Ensure the adoption of ethical and responsible AI practices across all solutions. Must-have Skills • 5+ years of hands-on experience in AI/ML development and deployment. • Strong expertise in Generative AI, LLMs, AI Agents, and RAG architectures. • Proven experience designing and deploying solutions on AWS Bedrock. • Strong programming skills in Python • Experience in cloud-native architectures and enterprise-scale solutions. • Familiarity with data pipelines, vector databases, and large-scale search systems. • Demonstrated ability to collaborate with cross-functional teams (scientists, engineers, product managers). • Commitment to responsible and ethical AI practices. Nice-to-Have Skills • AI Tooling Proficiency : Leverage one or more AI tools to optimize and augment day-to-day work, including drafting, analysis, research, or process automation. Provide recommendations on effective AI use and identify opportunities to streamline workflows. • Experience with LangChain, llama-index, or similar orchestration frameworks for RAG/LLM pipelines. • Knowledge of multi-cloud or hybrid cloud environments. • Exposure to MLOps best practices (CI/CD for ML, monitoring, observability). • Familiarity with security and compliance frameworks in regulated industries • Advanced degree (MSc/PhD) in Computer Science, Machine Learning, or related field. What we offer: • A High-Impact Environment • Commitment to Professional Development • Flexible and Collaborative Culture • Global Opportunities • Vibrant Community • Total Rewards *Specific benefits are determined by the employment type and location. Find out more about our culture here .