ai engineer for autonomous AI systems

Meltwater provides technology that helps 27,000 customers worldwide make better business decisions through data. The company develops best-in-class solutions and operates with a global team across 50 locations in 25 countries.

• Design, build, and deploy cutting-edge AI solutions with autonomous, user-facing capabilities;
• Deliver end-to-end AI solutions from initial concept through production deployment and ongoing optimization;
• Architect and implement LLM-powered applications, data enrichments, multi-agent workflows, and autonomous AI systems;
• Orchestrate large language models, build prompt engineering frameworks, and perform fine-tuning;
• Deploy and operate LLM applications at scale in reliable production environments;
• Containerize AI services and implement deployment pipelines for rapid iteration;
• Establish monitoring systems for performance metrics, response quality, hallucination rates, and autonomous decision accuracy;
• Manage infrastructure powering AI applications and optimize performance and cost-effectiveness;
• Establish automated evaluation frameworks for LLM applications;
• Build robust fallback mechanisms;
• Ensure AI systems meet security and compliance requirements;
• Improve AI capabilities based on user feedback and performance data.

• 5+ Years of hands-on experience in AI/ML engineering, software development, or related technical roles;
• Demonstrable experience building and deploying AI-powered applications;
• Bachelor's or master's degree in computer science or an equivalent degree;
• Good theoretical knowledge of AI, ML, and NLP principles;
• Strong programming proficiency in Python;
• Familiarity with Java/Kotlin;
• Solid understanding of API design, development, and integration patterns;
• Experience with LangChain, LangGraph, and APIs from OpenAI, Anthropic, or similar providers;
• Proficiency in prompt engineering and orchestrating AI agents, chatbots, and autonomous workflows;
• Familiarity with Azure, AWS, or Google Cloud AI/ML services;
• Familiarity with Docker, Kubernetes, CI/CD pipelines, automated testing for LLM applications, monitoring, logging, and performance tracking;
• Strong problem-solving abilities and experience debugging AI systems, optimizing performance bottlenecks, and implementing scalable solutions;
• Excellent communication skills and ability to work with cross-functional teams in an agile environment;
• Ability to quickly adopt new AI technologies, frameworks, and best practices;
• Nice to have: Knowledge of vector databases and RAG, such as OpenSearch or ElasticSearch.

• Flexible paid time off options;
• Comprehensive health insurance;
• Employee assistance programs covering mental health, legal, financial, wellness, and behaviour areas;
• Complimentary Calm App subscription for the employee and loved ones;
• Family leave program that grows with tenure;
• Ongoing professional development opportunities.