Senior AI Engineer

Senior AI Engineer: Innovative AI Solutions Development

We seek a highly skilled and motivated Senior AI Engineer to design, develop, and deliver innovative AI solutions across diverse business use cases.

This role focuses on applying state-of-the-art AI solutions, including Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and multimodal learning, to solve targeted product challenges. You will significantly contribute to building and scaling a robust AI platform addressing a broad spectrum of business problems. Expect high autonomy in designing and implementing complex components, while collaborating closely with Engineering leads for strategic guidance.

Responsibilities

• Design, develop, and own the delivery of scalable AI systems and components for various product use cases and business applications.
• Build, test, and integrate advanced AI solutions, such as open and closed source LLMs, RAG pipelines, MCP servers, AI agents, or prompt orchestration layers.
• Collaborate with product teams and stakeholders to define technical requirements and implementation strategies.
• Partner with Engineering teams for end-to-end solution integration, ensuring the quality and effectiveness of deployed systems.
• Implement rapid AI solutions to meet urgent product and operational demands.
• Contribute actively to the development and evolution of the core AI platform.
• Optimize AI solutions for performance, cost efficiency, and maintainability at scale.
• Stay current with emerging trends in Artificial Intelligence (AI) and Machine Learning (ML).
• Evaluate new tools, models, and technologies for potential organizational adoption.

Requirements

• Minimum of 3 years of relevant experience in AI or Machine Learning Engineering roles.
• Hands-on experience building and deploying AI/ML systems, preferably in production environments.
• Strong proficiency in SQL for data querying and management, alongside experience with in-memory data storage technologies for high-performance applications.
• Expertise working within the LLM ecosystem and modern Generative AI (GenAI) technologies (e.g., OpenAI, Anthropic, Hugging Face, and LangChain).
• Solid understanding of cloud infrastructure (AWS, GCP, or Azure) and modern MLOps workflows for scalable AI deployment.
• Experience utilizing vector databases and inference engines to support efficient AI model operations.
• Excellent problem-solving skills and ability to clearly communicate complex technical concepts.
• Proven ability to work effectively within cross-functional teams.
• Good English communication skills (B2+ level or higher) and experience in client-facing communications, including direct stakeholder interaction.

Note: Familiarity with frontend frameworks like Angular or React is helpful for UI team collaboration, but not strictly required.

Nice to Have

• Coding experience in server-side languages such as GoLang or PHP for backend development and integration.
• Proficiency in JavaScript for scripting and automation tasks.
• Experience with TypeScript for building robust and maintainable web applications.