AI Engineer

• Design and deliver real-world AI systems, working hands-on with LLMs, vector search, and prompt engineering.
• Integrate vision and speech models to extend AI solutions beyond text into multimodal tasks.
• Aggregate knowledge across text, images, and audio into coherent outputs.
• Build agentic systems that can plan, reason, and act on data, combining, tuning, and deploying existing AI solutions into production-ready systems.
• Drive R&D projects from design to deployment in iterative improvement cycles.
• Build rapid prototypes, validate hypotheses, and integrate AI blocks into user-focused applications and data pipelines.
• Design and implement LLM-based features such as document understanding, content summarization, and interactive Q&A.
• Develop agentic AI workflows combining reasoning, tool calling, memory management, and context engineering to automate complex tasks.
• Leverage RAG, vector databases, chunking techniques, and hybrid search methods for efficient information retrieval.
• Integrate monitoring and evaluation best practices to track AI model performance, control costs, and ensure observability.
• Fine-tune and adapt pre-trained models to meet specific project needs.
• Collaborate closely within a cross-functional R&D team to bring AI solutions to production.

AI Engineer

Product Co-Founder – Competitive Intelligence AI Platform

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AI Engineer

Senior Software AI Engineer