AI Engineer designing and deploying cutting-edge AI solutions at Meltwater. Focused on LLM-powered applications and intelligent systems impacting user experiences.
Responsibilities
Design, build, and deploy cutting-edge AI solutions that deliver autonomous, user-facing capabilities.
Take ownership of end-to-end AI solution delivery, from initial concept through production deployment and ongoing optimization.
Architect and implement LLM-powered applications & enrichments, multi-agent workflows, and autonomous AI systems.
Orchestrate large language models, build sophisticated prompt engineering frameworks and fine-tuning, create robust RAG systems using vector databases and semantic search technologies.
Deploy and operate these LLM applications at scale, ensuring they perform reliably in production environments.
Containerize AI services, implement deployment pipelines for rapid iteration, and establish monitoring systems that track both performance metrics and AI-specific indicators like response quality, hallucination rates, and autonomous decision accuracy.
Ensure AI systems are production-ready and enterprise-grade.
Manage the infrastructure that powers AI applications, optimize for performance and cost-effectiveness, establishing automated evaluation frameworks for LLM applications, and build robust fallback mechanisms.
Ensure AI systems meet security and compliance requirements while maintaining the ability to rapidly iterate and improve AI capabilities based on user feedback and performance data.
Requirements
Hands-on experience in AI/ML engineering, software development, or related technical roles with demonstrable experience building and deploying AI powered applications.
Good theoretical knowledge of AI, ML and NLP principles as demonstrated by a bachelor's or master's degree in computer science or equivalent degree.
Strong programming proficiency in Python and familiarity with Java/Kotlin, with a solid understanding of API design, development and integration patterns.
LLM and Generative AI Expertise.
Experience with frameworks such as LangChain , LangGraph , and APIs from OpenAI, Anthropic, etc.
Knowledge of vector databases and RAG (e.g., OpenSearch, ElasticSearch ) for semantic search and knowledge retrieval.
Demonstrated proficiency in prompt engineering and orchestrating AI agents, chatbots, and autonomous workflows.
Familiarity with cloud AI/ML services (Azure preferred, also AWS or Google Cloud), container orchestration (Docker, Kubernetes), CI/CD deployment pipelines, automated testing for LLM applications, infrastructure monitoring, logging, and performance tracking.
Strong problem-solving abilities with experience debugging AI systems, optimizing performance bottlenecks, and implementing scalable solutions.
Collaborative mindset with excellent communication skills to work effectively with cross-functional teams in an agile environment, including product managers, data scientists, and platform engineers.
Continuous learning orientation with demonstrated ability to quickly adopt new AI technologies, frameworks, and best practices in this rapidly evolving field.
Hands-on experience with NLP, computer vision, image processing, speech to text and deep learning, including working knowledge of TensorFlow/ PyTorch , as well as transformer architectures, attention mechanisms, and fine-tuning for vision or language models.
Benefits
Enjoy flexible paid time off options for enhanced work-life balance.
Comprehensive health insurance tailored for you.
Employee assistance programs cover mental health, legal, financial, wellness, and behaviour areas to ensure your overall well-being.
Complimentary Calm App subscription for you and your loved ones, because mental wellness matters.
Energetic work environment with a hybrid work style, providing the balance you need.
Benefit from our family leave program, which grows with your tenure at Meltwater.
Thrive within our inclusive community and seize ongoing professional development opportunities to elevate your career.
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