About the role
Location [Remote – Global]
Open Insights is seeking talented Agentic AI Developers with expertise at the intersection of Generative AI, Data Science, and agent-driven systems. This role focuses on architecting and implementing autonomous AI agents that combine data-driven intelligence with orchestrated, safe, and scalable workflows, delivering business-aligned impact across industries.
Responsibilities
- Design and deliver end-to-end Agentic AI solutions, covering data preparation, model development, orchestration, deployment, and continuous monitoring.
- Develop and optimize autonomous agents that leverage LLMs, multi-agent frameworks (e.g., LangChain, AutoGPT, Semantic Kernel, CrewAI), memory modules, and tool integrations.
- Orchestrate workflows that combine Generative AI, predictive modeling, and decision-making under human-AI collaboration paradigms.
- Build robust data pipelines for ingestion, transformation, feature engineering, training, evaluation, and observability.
- Translate business requirements into scalable system architectures, aligning technical design with measurable client outcomes and ROI.
- Integrate safety, guardrails, and governance controls into agentic systems to ensure reliability, ethical compliance, and regulatory adherence.
- Collaborate and present insights to diverse stakeholder groups, communicating technical concepts clearly and shaping strategic AI adoption.
- Stay ahead of industry trends, contributing thought leadership on applied multi-agent systems and emerging capabilities in Generative AI.
Qualification
- Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or quantitative disciplines.
- 3 – 5+ years of applied experience in AI/ML, Generative AI, and agentic systems.
- Expertise with cloud platforms (AWS, Azure, GCP), containerization (Docker, Kubernetes), and MLOps/LLMOps practices.
- Working knowledge of data systems (SQL/NoSQL, vector databases, data lakes) and retrieval-augmented generation (RAG).
- Strong problem-solving, systems thinking, and ability to design enterprise-ready, human-in-the-loop AI workflows.
Skills and Abilities
- Strong background in data science, machine learning, and AI solution design
- Proven hands-on expertise with LLMs, agentic workflows, and Generative AI applications.
- Practical experience with data manipulation (Pandas, NumPy), ML libraries (Scikit-learn, PyTorch, TensorFlow), and production deployment best practices.
- Familiarity with AI orchestration frameworks, multi-agent coordination, and integration with APIs/tools.
- Demonstrated experience in deploying at least one production-ready Agentic AI solution that can be showcased, highlighting scalability, reliability, and business impact.
- Proficiency in end-to-end delivery methodologies (Agile, hybrid), with demonstrable ownership of projects from ideation to deployment.
- Strong stakeholder engagement, documentation, and communication skills for translating insights into action.
- Ability to balance technical depth with business context and adapt to evolving enterprise challenges.
Preferred Qualifications
- Expertise with cloud platforms (AWS, Azure, GCP), containerization (Docker, Kubernetes), and MLOps/LLMOps practices.
- Working knowledge of data systems (SQL/NoSQL, vector databases, data lakes) and retrieval-augmented generation (RAG).
- Strong problem-solving, systems thinking, and ability to design enterprise-ready, human-in-the-loop AI workflows.
Apply Now
HR@open-insights.com
About Open Insights
IT Services and IT Consulting
11-50
At Open Insights, we believe Your Data is Your Asset. Our Data Ninjas are experts in Data Strategy, Technology Architecture, Data-as-a-Service and will help your organization to develop and implement a Data-Driven Culture. We will undertake the journey with you to transform your data into insights into action to help you realize the full potential of your asset.
About the role
Location [Remote – Global]
Open Insights is seeking talented Agentic AI Developers with expertise at the intersection of Generative AI, Data Science, and agent-driven systems. This role focuses on architecting and implementing autonomous AI agents that combine data-driven intelligence with orchestrated, safe, and scalable workflows, delivering business-aligned impact across industries.
Responsibilities
- Design and deliver end-to-end Agentic AI solutions, covering data preparation, model development, orchestration, deployment, and continuous monitoring.
- Develop and optimize autonomous agents that leverage LLMs, multi-agent frameworks (e.g., LangChain, AutoGPT, Semantic Kernel, CrewAI), memory modules, and tool integrations.
- Orchestrate workflows that combine Generative AI, predictive modeling, and decision-making under human-AI collaboration paradigms.
- Build robust data pipelines for ingestion, transformation, feature engineering, training, evaluation, and observability.
- Translate business requirements into scalable system architectures, aligning technical design with measurable client outcomes and ROI.
- Integrate safety, guardrails, and governance controls into agentic systems to ensure reliability, ethical compliance, and regulatory adherence.
- Collaborate and present insights to diverse stakeholder groups, communicating technical concepts clearly and shaping strategic AI adoption.
- Stay ahead of industry trends, contributing thought leadership on applied multi-agent systems and emerging capabilities in Generative AI.
Qualification
- Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or quantitative disciplines.
- 3 – 5+ years of applied experience in AI/ML, Generative AI, and agentic systems.
- Expertise with cloud platforms (AWS, Azure, GCP), containerization (Docker, Kubernetes), and MLOps/LLMOps practices.
- Working knowledge of data systems (SQL/NoSQL, vector databases, data lakes) and retrieval-augmented generation (RAG).
- Strong problem-solving, systems thinking, and ability to design enterprise-ready, human-in-the-loop AI workflows.
Skills and Abilities
- Strong background in data science, machine learning, and AI solution design
- Proven hands-on expertise with LLMs, agentic workflows, and Generative AI applications.
- Practical experience with data manipulation (Pandas, NumPy), ML libraries (Scikit-learn, PyTorch, TensorFlow), and production deployment best practices.
- Familiarity with AI orchestration frameworks, multi-agent coordination, and integration with APIs/tools.
- Demonstrated experience in deploying at least one production-ready Agentic AI solution that can be showcased, highlighting scalability, reliability, and business impact.
- Proficiency in end-to-end delivery methodologies (Agile, hybrid), with demonstrable ownership of projects from ideation to deployment.
- Strong stakeholder engagement, documentation, and communication skills for translating insights into action.
- Ability to balance technical depth with business context and adapt to evolving enterprise challenges.
Preferred Qualifications
- Expertise with cloud platforms (AWS, Azure, GCP), containerization (Docker, Kubernetes), and MLOps/LLMOps practices.
- Working knowledge of data systems (SQL/NoSQL, vector databases, data lakes) and retrieval-augmented generation (RAG).
- Strong problem-solving, systems thinking, and ability to design enterprise-ready, human-in-the-loop AI workflows.
Apply Now
HR@open-insights.com
About Open Insights
IT Services and IT Consulting
11-50
At Open Insights, we believe Your Data is Your Asset. Our Data Ninjas are experts in Data Strategy, Technology Architecture, Data-as-a-Service and will help your organization to develop and implement a Data-Driven Culture. We will undertake the journey with you to transform your data into insights into action to help you realize the full potential of your asset.