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
Requirements
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
Competencies
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