As an AI Engineer on our team, you will take ownership of end-to-end AI solution delivery, from initial concept through production deployment and ongoing optimization. Youll architect and implement LLM-powered applications enrichments, multi-agent workflows, and autonomous AI systems that directly impact our users experiences. Your work will involve orchestrating large language models, building sophisticated prompt engineering frameworks and fine-tuning, as well as creating robust RAG (Retrieval-Augmented Generation) systems using vector databases and semantic search technologies.
Youll be responsible for deploying and operating these LLM applications at scale, ensuring they perform reliably in production environments. This includes containerizing AI services, implementing deployment pipelines for rapid iteration, and establishing monitoring systems that track both performance metrics and AI-specific indicators like response quality, hallucination rates, and autonomous decision accuracy.
Your role encompasses ensuring our AI systems are production-ready and enterprise-grade. Youll manage the infrastructure that powers our AI applications, optimize for both performance and cost-effectiveness, establishing automated evaluation frameworks for LLM applications, and build robust fallback mechanisms. Youll ensure our 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.
6 - 9 years of 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 bachelors or masters 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
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.
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.
