We are looking for a highly skilled and motivated Senior AI Engineer to help design, develop, and deliver innovative AI solutions across a broad set of business use-cases.
In this role, you’ll 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 a broad set of business problems. You’ll be expected to design and implement complex components with a high degree of autonomy, while 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