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AI/ML Solution Architect

Obrimo Technologies (Formerly known as Salecino)

Job Responsibilities : - Develop and implement AI and Agentic AI solutions that enhance customer engagement, sales effectiveness, and operational efficiency across enterprise CRM platforms.- Build intelligent workflows using Large Language Models (LLMs), enterprise data, and tool integrations to automate customer and business processes.- Develop production-ready GenAI applications, including Retrieval-Augmented Generation (RAG), prompt engineering, and AI-powered business workflows.- Build and maintain scalable data pipelines and AI solutions using Google Cloud Platform (GCP) services such as BigQuery, Composer (Airflow), DataProc, and related cloud services.- Integrate AI applications with enterprise systems, APIs, and data platforms while ensuring operational reliability and performance.- Collaborate with product managers, software engineers, data engineers, and business stakeholders to translate business requirements into AI-enabled solutions.- Contribute to shared AI frameworks, reusable components, evaluation pipelines, and engineering standards.- Ensure AI applications comply with enterprise security, governance, responsible AI, and operational standards.Required Skills / Experience : - Experience with Agentic AI concepts, including orchestration frameworks, tool calling, context management, or multi-step AI workflows.- Understanding of Retrieval-Augmented Generation (RAG), vector databases, prompt engineering, and LLM evaluation techniques.- Strong programming skills in Python and experience developing backend services, APIs, and data pipelines.- Experience with AI/ML frameworks such as LangChain, LangGraph, PyTorch, TensorFlow, or Scikit-learn.- Working knowledge of Google Cloud Platform (GCP), including BigQuery, Composer (Airflow), DataProc, Cloud Storage, and related data services.- Understanding of cloud-native application development, distributed systems, and modern software engineering practices.- Knowledge of CI/CD, containerization (Docker), and production deployment concepts.Qualifications : - 35+ years of experience in software engineering, machine learning engineering, data engineering, or applied AI.- Hands-on experience building or integrating GenAI applications using Large Language Models (LLMs). (ref:hirist.tech)

Vacancy posted 5 days ago
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