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GEN Ai Developer

  • Canada
  • Remote
  • Posted Nov 4, 2026
  • 1 position

US$75–US$85 / hour

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Employment type
Contract
Experience level
6+ years
Minimum education
Bachelor’s degree
Posting language
English
Application method
Apply on LinkedIn (LinkedIn sign-in required)

Job summary

Build and deploy production Generative AI applications, ChatGPT plugins, assistants, agents, and RAG solutions, including agentic systems connected to tools and enterprise services. Support staff and implement secure, observable, and evaluated AI solutions using cloud-native infrastructure and modern web technologies.

Job details

Title – GenAi Developer Pay Rate: $75.00 - $85 Location: REMOTE Contract: 1 year to start Requirement: Need developers who have worked on ChatGPT/OpenAI platform and related capabilities. These developers will be building ChatGPT Plugins, skills and WS Agents and helping staff as well. Master’s degree with 4+ years of experience in Computer Science, IT, or a related field, OR Bachelor’s degree with 6+ years of experience in Computer Science, IT, or a related field. 4+ years of professional software development and system-design experience. 2+ years of hands-on experience developing and deploying production Generative AI applications, assistants, agents, or RAG solutions using OpenAI preferred, Claude, Gemini, or comparable models. Hands-on experience building agentic and tool-connected AI solutions, including orchestration, tool/function calling, human-in-the-loop patterns, or MCP-based integrations. 2+ years of hands-on cloud-native engineering experience, preferably on AWS using services such as Amazon Bedrock, Lambda, EKS, API Gateway, S3, and related services. 2+ years of hands-on experience with embeddings, vector databases, semantic/hybrid retrieval, and RAG pipelines. Strong programming skills in Python, including development of APIs, integrations, backend services, evaluation utilities, or GenAI applications. Experience with GenAI frameworks and libraries such as OpenAI SDKs, LangChain/LangGraph, Transformers, Hugging Face, or comparable frameworks. Experience designing secure enterprise integrations using REST APIs, API gateways, OAuth/OIDC, service identities, RBAC, secrets management, and enterprise authentication patterns. Experience implementing LLM/RAG evaluation, regression testing, tracing, monitoring, guardrails, and production observability. Experience effectively using AI-assisted development tools such as OpenAI Codex, Claude Code, and GitHub Copilot, while applying appropriate review, testing, security, and software-quality controls. Hands-on experience developing modern web applications using TypeScript and React; experience with Next.js, component-driven design, REST/GraphQL integrations, automated testing, and CI/CD is strongly preferred.

What you’ll do

Build and deploy production Generative AI applications, ChatGPT plugins, assistants, agents, and RAG solutions, including agentic systems connected to tools and enterprise services. Support staff and implement secure, observable, and evaluated AI solutions using cloud-native infrastructure and modern web technologies.

Requirements

Requires a master’s degree with at least 4 years of relevant experience or a bachelor’s degree with at least 6 years, plus 4 or more years of software development and system-design experience. Candidates need hands-on experience with production GenAI, agentic systems, cloud engineering, RAG, Python, secure enterprise integrations, evaluation and observability, and modern web development.

Listed skills

  • Python · Preferred
  • Amazon Web Services · Preferred
  • REST APIs · Preferred
  • TypeScript · Preferred
  • React · Preferred
  • CI/CD · Preferred

Other relevant skills

Identified from the job description. Confirm important requirements above.

  • Generative AI
  • Python
  • OpenAI
  • AI Agents
  • Retrieval-Augmented Generation
  • AWS
  • Cloud-Native Engineering
  • Vector Databases
  • Embeddings
  • LangChain
  • LangGraph
  • REST APIs
  • OAuth/OIDC
  • TypeScript
  • React
  • CI/CD

Job areas

  • Software
  • Technology
  • Engineering
  • Data & Analytics

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