Job description

• Design and develop Agentic AI solutions and intelligent workflow automation . • Build and implement AI-powered workflows that automate business processes. • Develop and customize Generative AI applications and Custom GPTs . • Design and implement RAG (Retrieval-Augmented Generation) solutions using enterprise data and knowledge sources. • Develop scalable AI applications and automation using Python . • Translate business requirements into practical AI solutions and technical designs. • Create end-to-end AI solution architectures and technical implementation plans. • Integrate AI solutions with existing applications, APIs, databases, and enterprise systems. • Work with customers and stakeholders to understand business requirements and demonstrate AI capabilities. • Provide customer training, technical guidance, and knowledge transfer . • Evaluate AI solutions for accuracy, scalability, security, and performance. • Collaborate with technical and business teams to deliver AI projects successfully. • Stay current with emerging developments in Agentic AI, Generative AI, RAG, and AI automation . Required Qualifications & Skills • 8+ years of relevant professional experience in technology, AI, software development, or related fields. • 8+ years of experience with Python Development . • Strong experience with Agentic AI and Workflow Automation . • Strong hands-on experience with Generative AI and Custom GPTs . • Strong knowledge of RAG (Retrieval-Augmented Generation) architectures and implementations. • Strong experience in Solution Design and Architecture . • Experience with AI/LLM integrations, APIs, and enterprise applications. • Strong communication and stakeholder-management skills. • Experience with customer engagement and technical training . Preferred Qualifications • Experience designing enterprise-scale Agentic AI solutions. • Experience integrating multiple AI agents into automated workflows. • Experience with LLM platforms, vector databases, embeddings, and prompt engineering. • Experience building production-ready RAG applications. • Experience developing AI-powered applications using Python. • Experience conducting customer workshops, demonstrations, and training sessions. • Strong understanding of AI solution architecture, security, scalability, and deployment.

Requirements

Must-haves

Design and develop Agentic AI solutions and intelligent workflow automation .
Build and implement AI-powered workflows that automate business processes.
Develop and customize Generative AI applications and Custom GPTs .
Design and implement RAG (Retrieval-Augmented Generation) solutions using enterprise data and knowledge sources.
Develop scalable AI applications and automation using Python .
Translate business requirements into practical AI solutions and technical designs.
Create end-to-end AI solution architectures and technical implementation plans.
Integrate AI solutions with existing applications, APIs, databases, and enterprise systems.
Work with customers and stakeholders to understand business requirements and demonstrate AI capabilities.
Provide customer training, technical guidance, and knowledge transfer .
Evaluate AI solutions for accuracy, scalability, security, and performance.
Collaborate with technical and business teams to deliver AI projects successfully.
Stay current with emerging developments in Agentic AI, Generative AI, RAG, and AI automation .
Required Qualifications & Skills
8+ years of relevant professional experience in technology, AI, software development, or related fields.
8+ years of experience with Python Development .
Strong experience with Agentic AI and Workflow Automation .

Nice-to-haves

Experience designing enterprise-scale Agentic AI solutions.
Experience integrating multiple AI agents into automated workflows.
Experience with LLM platforms, vector databases, embeddings, and prompt engineering.
Experience building production-ready RAG applications.
Experience developing AI-powered applications using Python.
Experience conducting customer workshops, demonstrations, and training sessions.
Strong understanding of AI solution architecture, security, scalability, and deployment.

Application prep

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Keywords to mirror

aipythonllm

Platform: careers-page
Effort: medium