Highlights
Design autonomous workflows, deploy large language models at scale, and ensure production-ready enterprise-grade systems.
Description
Job Summary
pWe are seeking a dynamic AI Engineer to join our team. The ideal candidate will design, build, and deploy cutting-edge AI solutions that deliver autonomous user-facing capabilities. This role focuses on creating large language model (LLM)-powered applications, agentic workflows, and intelligent systems.
Responsibilities
- Design, implement, and deploy LLM-powered applications
- Orchestrate large language models and build prompt engineering frameworks
- Create robust retrieval-augmented generation (RAG) systems using vector databases and semantic search technologies
- Deploy and operate AI services at scale in production environments
- Establish monitoring systems for performance metrics and AI-specific indicators
Required Skills
- Experience with LLMs and generative AI
- Familiarity with cloud AI/ML services (Azure preferred)
- Solid understanding of API design and integration patterns
- Demonstrated proficiency in prompt engineering and orchestrating workflows
- Strong problem-solving abilities with experience debugging AI systems
Required Skills Explained
- Hands-on experience in AI/ML engineering and software development.
- Demonstrable experience building and deploying AI-powered applications.
- Strong programming proficiency in Python, familiarity with Java/Kotlin, and a solid understanding of API design and integration patterns.
- Expertise in LLM and Generative AI, including frameworks such as LangChain, LangGraph, and APIs from OpenAI, Anthropic, etc.
- Knowledge of vector databases and RAG 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.
Who is this for
pThis role is ideal for experienced AI/ML engineers who are passionate about building cutting-edge AI solutions. You should have a solid background in software development, especially in Python and cloud technologies.
Why This Job is a Good Opportunity
ulliWork on cutting-edge AI solutions that directly impact user experiences.liJoin a growing team with a focus on innovation and rapid development.liCollaborate with cross-functional teams in an agile environment to drive product development.liEnjoy flexible paid time off options, comprehensive health insurance, and employee assistance programs for overall well-being.liBenefit from a hybrid work style that balances flexibility and productivity.
Interview Preparation Tips
- Review your experience in AI/ML engineering and software development projects.
- PRACTICE coding challenges related to Python, Java/Kotlin, and API design.
- Familiarize yourself with LLM and Generative AI frameworks such as LangChain and OpenAI APIs.
- Demonstrate knowledge of vector databases and RAG systems for semantic search.
- Prepare examples of prompt engineering and orchestrating AI agents.
- PRACTICE explaining cloud deployment concepts like Docker, Kubernetes, and CI/CD pipelines.
Career Growth in This Role
pThe role offers numerous opportunities for career growth as an AI Engineer. You can take on more complex projects, lead cross-functional teams, and potentially move into higher management positions focused on strategic AI initiatives. Meltwater's commitment to innovation and continuous learning means there are always new technologies and frameworks to explore.pAdditionally, you can look forward to advancements in your technical skills through hands-on work with state-of-the-art tools and platforms, as well as mentorship from experienced colleagues within the organization.
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Skills
Frequently Asked Questions
What are the key responsibilities of this role?Key responsibilities include designing, implementing, and deploying LLM-powered applications, orchestrating large language models, building RAG systems, and establishing monitoring systems.
Is any specific cloud service preferred for this position?Yes, we prefer candidates with experience in Azure, but AWS or Google Cloud is also acceptable.
What kind of work-life balance can I expect at Meltwater?Meltwater offers flexible paid time off options and an energetic work environment that promotes a healthy work-life balance.
