Taber, Ab Developer Jobs – 18 Openings This Week

Agentic AI Developer
Open Insights —Municipal District of Taber, AB
- Azure
- Computer Science
- Engineering
Software Development Manager
BrightOrder Inc. —Canada
- $115,000–$125,000 a year
- Full-time
- Remote
- Computer Science
- Engineering
- English
- Dental care
- Vision care
Quick apply
Senior React Native Developer
BrightOrder Inc. —Canada
- $90,000–$110,000 a year
- Full-time
- Remote
- AWS
- Bachelor's
- Agile
- Dental care
- Vision care
Quick apply
F&O Developer
ISG Search Inc —Canada
- Full-time
- Computer Science
- Engineering
- Bachelor's
Quick apply
Senior Programmer / Software Developer – Microsoft Dynamics & Power Platform
Morson Talent (Canada & USA) —Canada
- Up to $580 a day
- Full-time
- Remote
- CRM software
- Azure
- Software troubleshooting
Quick apply
10d
Electrical Systems Specialist
Metrolinx —Canada
- $93,798 a year
- Full-time
- Engineering
- System design
- Travel
7d

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developer jobs near taber, ab

Agentic AI Developer

Open Insights
Municipal District of Taber, AB

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Job details

Qualifications

Scikit-learn
TensorFlow
Predictive analysis
Stakeholder engagement
Data integration
Azure
Computer Science
Predictive modeling analysis
PyTorch
Software deployment
Engineering
NumPy
System design
NoSQL
Google Cloud Platform
Master's degree
Databases
SQL
Pandas
AWS
Docker
Bachelor's
APIs
Agile
System development
Data science
Business requirements
AI
Cross-functional collaboration
Communication skills
Software architecture
Stakeholder relationship building
Cross-functional communication
Data Science
Stakeholder management

Full job description

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).
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.

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[email protected]

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