AI Backend Developer

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 FinOps Data & AI/ML Cybersecurity Infrastructure Security Application Security Data Security SDx & Digital Workspace (M365, G-suite) SDDC, SD-WAN, SDN, NetSec, 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 & NoSQL) Good understanding of CI/CD pipelines, observability, and logging tools Nice to Have Experience with LangChain, LlamaIndex, 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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