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

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

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