AI Engineer
Indexed description
AI Engineer
for the Digital Transformation Office.
Responsibilities
- Understand and document business needs
- Design and develop architectures for agentic AI systems using modern LLM frameworks, MLs, APIs GENAI, and other automation tools to address business needs
- Engineer relevant features to improve AI solution accuracy and performance - development
- Use multi-agent collaboration frameworks for complex business workflows
- Integrate AI agents to enterprise systems, APIs, and external apps using AI orchestration tools
- Deploy solutions to production environments allowing for real-time or batch inference on new data
- Communication of the solutions to stakeholders (customers)
- Owner of technical discussions on architecture, scalability, and performance optimization with IT stakeholders
- Ensure proper documentation and DevOps
- Research, learn and recommend new technologies relevant to your field
- 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
- Creativity
- Problem-solving and critical-thinking skills
- Excellent written and verbal communication skills
- Ability to multi-task and manage various projects
- Self-motivated, able to work independently and as part of a team, and able to take initiative
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