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AI Backend Developer

Job in Calgary, Alberta, D3J, Canada
Listing for: Intuitive.Cloud
Full Time position
Listed on 2026-09-27
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.

Required

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

Nice to Have

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

Seniority level

Mid-Senior level

Employment type

Contract

Job function

Information Technology

Industries

IT Services and IT Consulting

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