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 implement advanced agentic AI architectures, including single- and multi-agent systems, with capabilities for tool orchestration, memory management, and retrieval-augmented generation (RAG).
- Develop and productionize 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 cross-functionally on experimental design to enable agent planning, self-reflection, and iterative self-improvement loops.
- 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).
- Solid 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.

Apply Now

[email protected]

📌 Agentic AI Developer (Canada)
🏢 Open Insights
📍 Canada