AI Backend Developer
Job in
Edmonton, Alberta, Canada
Listed on 2026-08-29
Listing for:
Intuitive.Cloud
Full Time
position Listed on 2026-08-29
Job specializations:
-
Software Development
Backend Developer, AI Engineer (Applied/Software), Cloud Engineer - Software
Job Description & How to Apply Below
Talent Acquisition Leader | Hiring Cloud Professionals Globally
About us:
Intuitive is an innovation-led engineering company delivering business outcomes for 100’s of Enterprises globally. With the reputation of being a Tiger Team and a Trusted Partner of enterprise technology leaders, we help solve the most complex Digital Transformation challenges across following Intuitive Superpowers:
- Modernization & Migration
- Application & Database Modernization
- Cloud Native Engineering, Migration to Cloud, VMware Exit
- Fin Ops
- Data & AI/ML
- Cybersecurity
- Infrastructure Security
- Application Security
- Data Security
- SDx & Digital Workspace (M365, G-suite)
- SDDC, SD-WAN, SDN, Net Sec, Wireless/Mobility
- Email, Collaboration, Directory Services, Shared Files Services
- Intuitive Services:
- Professional and Advisory Services
- Elastic Engineering Services
- Managed Services
- Talent Acquisition & Platform Resell Services
About the job:
Start Date: Immediately
# of Positions: 1
Position Type: Full Time
Location: Remote across Canada/ USA
Key Responsibilities- Design and develop backend services and APIs to support AI/ML models in production.
- Integrate LLMs, vector databases, and RAG pipelines into backend systems.
- Build scalable, secure, and high-performance microservices for AI applications.
- Implement data pipelines for training, fine-tuning, and serving AI/ML models.
- Collaborate with frontend, ML, and LLMOps teams to deliver end-to-end AI features.
- Monitor, optimize, and troubleshoot performance, scalability, and latency issues.
- Ensure compliance with security, governance, and regulatory standards.
Skills & Qualifications
- Strong backend development experience with Python
- Proficiency in RESTful APIs, FastAPI, Flask
- Experience with cloud platforms (AWS, Azure, GCP) for AI/ML deployments
- Familiarity with LLMs, vector DBs (Pinecone, Weaviate, Milvus, PGVector), RAG architectures
- Experience with containerization (Docker, Kubernetes)
- Strong knowledge of databases (SQL & No
SQL) - Good understanding of CI/CD pipelines, observability, and logging tools
- Experience with Lang Chain, Llama Index, or other agentic frameworks
- Knowledge of MLOps / LLMOps practices
- Exposure to streaming systems (Kafka, Pub/Sub)
- Prior work with GenAI, chatbots, multimodal AI applications
- Mid-Senior level
- Contract
- Information Technology
- IT Services and IT Consulting
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