Senior AI Engineer: LLM, RAG, and MLOps Specialist

We are seeking a highly skilled and motivated Senior AI Engineer to design, develop, and deliver innovative AI solutions across a broad set of business use-cases.

In this role, you will focus on solving targeted product use cases by applying state-of-the-art AI solutions, including LLMs, RAG, multimodal learning, and more. Your work will directly contribute to the development and growth of a robust AI platform that enables solutions for diverse business problems. You are expected to design and implement complex components with a high degree of autonomy, collaborating with Engineering leads for guidance.

Responsibilities

• Design, develop and own delivery of scalable AI systems and components aimed at solving multiple product use cases and business applications.
• Build, test, and integrate AI solutions, such as LLMs (open and closed source), RAG pipelines, MCP servers, agents, or prompt orchestration layers.
• Collaborate with product team members and other stakeholders to define technical requirements and implementation plans.
• Partner with multiple Engineering teams to help integrate solutions end-to-end and ensure quality and effectiveness of deployed systems.
• Implement quick turnaround AI solutions to meet urgent product and operational needs.
• Contribute to the development and evolution of our AI platform.
• Optimize AI solutions for performance, cost, and maintainability at scale.
• Stay current with emerging trends in AI and ML.
• Evaluate new tools, models, and technologies for potential 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, ideally in production environments.
• Strong experience with SQL for data querying and management, as well as in-memory data storage technologies for high-performance applications.
• Experience working with LLM ecosystems and modern GenAI technologies such as OpenAI, Anthropic, Hugging Face, and LangChain.
• Solid understanding of cloud infrastructure (AWS, GCP, or Azure) and modern MLOps workflows for scalable AI deployment.
• Experience working with vector databases and inference engines to support efficient AI model operations.
• Familiarity with frontend frameworks such as Angular or React is helpful for collaborating with UI teams, though not required.
• Excellent problem-solving skills and the ability to communicate complex technical concepts clearly.
• Proven ability to work effectively in cross-functional teams.
• Good English communication skills (B2+ level or higher) and experience in client-facing communications, including direct interaction with stakeholders.

Nice to have

• Coding experience in one or more 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.