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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