Designs and develops architectures for agentic AI systems using modern LLM frameworks, MLs, APIs GENAI, and other automation tools to address business needs.
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Engineers relevant features to improve AI solution accuracy and performance – development.
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Uses multi-agent collaboration frameworks for complex business workflows.
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Integrates AI agents to enterprise systems, APIs, and external apps using AI orchestration tools.
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Deploys solutions to production environments allowing for real-time or batch inference on new data.
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Communicates the solutions to stakeholders (customers).
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Owns technical discussions on architecture, scalability, and performance optimization with IT stakeholders.
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Ensures proper documentation and DevOps.
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Researches, learns and recommends new technologies relevant to your field.
Requirements
Requirements
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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
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Knowledge of AI stack (multimodal) – Google Cloud Platform tools is a plus – Certifications are a plus
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Python expertise
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Experience in integrating Generative AI models into enterprise applications, chatbots, virtual assistants, and low code platforms
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Proven abilities to take initiative and be innovative
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Analytical mind with a problem-solving aptitude
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Ability to lead – proven experience is a plus
Competencies
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Creativity
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Problem-solving and critical-thinking skills
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Excellent written and verbal communication skills
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Ability to multi-task and manage various projects
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Self-motivated, able to work independently and as part of a team, and able to take initiative