AI Engineer Job in Hyderabad at Meltwater

Meltwater is hiring for the role of AI Engineer!

Responsibilities of the Candidate:

• You'll 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.
• You'll 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.
• You'll 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.
• You'll 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.

Requirements:

• 2 - 4 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 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