AI Engineer

Responsibilities

• check_circle Understand and document business needs.
• check_circle Design and develop architectures for agentic AI systems using modern LLM frameworks, MLs, APIs GENAI, and other automation tools to address business needs.
• check_circle Engineer relevant features to improve AI solution accuracy and performance – development.
• check_circle Use multi-agent collaboration frameworks for complex business workflows.
• check_circle Integrate AI agents to enterprise systems, APIs, and external apps using AI orchestration tools.
• check_circle Deploy solutions to production environments allowing for real-time or batch inference on new data.
• check_circle Communication of the solutions to stakeholders (customers).
• check_circle Owner of technical discussions on architecture, scalability, and performance optimization with IT stakeholders.
• check_circle Ensure proper documentation and DevOps.
• check_circle Research, learn and recommend new technologies relevant to your field.

Basic qualifications

• Proven experience – min 2 years- with track record -min 2 projects- in designing and developing GENAI solutions in corporate environments and at least another 3 years in development projects
• Knowledge of AI stack (multimodal) – Google Cloud Platform tools is a plus – Certifications are a plus
• Python expertise
• Experience in integrating Generative AI models into enterprise applications, chatbots, virtual assistants, and low code platforms
• Proven abilities to take initiative and be innovative
• Analytical mind with a problem-solving aptitude
• Ability to lead – proven experience is a plus

About the company