indeed
Full-Stack AI Product Engineer
Cheil
Mississauga, CAN
Contract
Mid
Hybrid
3 days ago
ReactNext.jsTypeScriptPythonNode.jsLLM APIs
Free
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ReactNext.jsTypeScript
About the Role
Cheil is hiring a Full-Stack AI Product Engineer to design, build, and scale AI-powered products and internal tools. This hands-on role requires full-stack development and AI integration experience with LLMs, agents, and cloud technologies.
Key Skills for This Role
ReactNext.jsTypeScriptPythonNode.jsLLM APIs
Responsibilities
- Design, develop, test, and deploy full stack web applications, internal tools, and AI enabled platforms
- Build front end interfaces using React, Next.js, TypeScript, or similar
- Develop back end services, APIs, databases, authentication flows, and business logic using Python, Node.js, or similar
- Integrate LLM APIs such as OpenAI, Azure OpenAI, Anthropic Claude, Google Gemini
- Build AI assistants, copilots, agents, automation workflows, and data connected AI tools
- Develop RAG based solutions using company documents, structured data, or knowledge bases
- Implement tool calling, function calling, structured outputs, human in the loop workflows, and AI workflow orchestration
- Connect applications with APIs, databases, analytics platforms, CRM, CMS, cloud services, and third party tools
- Deploy applications in secure, scalable cloud or managed environments
- Apply AI governance best practices including data privacy, access control, output validation, logging, guardrails, and responsible AI usage
Requirements
- 4+ years of professional software development experience
- Strong full stack development experience
- Hands on AI development experience building AI powered applications, assistants, agents, RAG systems, or LLM integrated tools
- Experience with LLM APIs such as OpenAI, Azure OpenAI, Anthropic Claude, or Google Gemini
- Experience with React, Next.js, TypeScript, or similar front end technologies
- Experience with Python and/or Node.js
- Experience building APIs, back end services, databases, and integrations
- Experience with authentication, permissions, secure application design, and data handling
- Experience deploying applications to cloud or managed hosting environments
- Ability to work independently and turn ambiguous business needs into working products
Full Job Posting
About the Role
- The Full Stack AI Product Engineer will design, build, and scale AI powered products, internal tools, SaaS like platforms, automation systems, and AI agents.
- This is a hands on engineering role for someone who can work across the full stack while building practical AI solutions using LLMs, agents, APIs, data, and cloud technologies.
Key Responsibilities
- Design, develop, test, and deploy full stack web applications, internal tools, and AI enabled platforms.
- Build front end interfaces using modern frameworks such as React, Next.js, TypeScript, or similar.
- Develop back end services, APIs, databases, authentication flows, and business logic using Python, Node.js, or similar.
- Integrate LLM APIs such as OpenAI, Azure OpenAI, Anthropic Claude, Google Gemini, or similar.
- Build AI assistants, copilots, agents, automation workflows, and data connected AI tools.
- Develop RAG based solutions using company documents, structured data, product information, campaign data, or knowledge bases.
- Implement tool calling, function calling, structured outputs, human in the loop workflows, and AI workflow orchestration.
- Connect applications with APIs, databases, analytics platforms, CRM, CMS, cloud services, and third party tools.
- Deploy applications in secure, scalable cloud or managed environments.
- Apply AI governance best practices, including data privacy, access control, output validation, logging, guardrails, and responsible AI usage.
Must Have Qualifications
- 4+ years of professional software development experience.
- Strong full stack development experience.
- Proven experience building web applications from front end to back end.
- Hands on AI development experience is required.
- Experience building AI powered applications, assistants, agents, RAG systems, or LLM integrated tools.
- Experience working with LLM APIs such as OpenAI, Azure OpenAI, Anthropic Claude, Google Gemini, or similar.
- Experience with React, Next.js, TypeScript, JavaScript, or similar front end technologies.
- Experience with Python and/or Node.js.
- Experience building APIs, back end services, databases, and integrations.
- Experience with authentication, permissions, secure application design, and data handling.
- Experience deploying applications to cloud or managed hosting environments.
- Ability to work independently and turn ambiguous business needs into working products.
Preferred Qualifications
- Experience with AI agent frameworks such as LangChain, LlamaIndex, Semantic Kernel, CrewAI, AutoGen, OpenAI Agents SDK, Google ADK, or similar.
- Experience with vector databases such as Pinecone, Weaviate, Chroma, Qdrant, pgvector, or Elasticsearch.
- Experience with cloud platforms such as AWS, Azure, GCP, Vercel, Firebase, Supabase, or similar.
- Experience building SaaS products, internal enterprise tools, dashboards, or workflow automation platforms.
- Experience with marketing technology, CRM, e commerce, CMS, analytics, personalization, or data platforms.
- Experience with AI evaluation, monitoring, cost optimization, and responsible AI practices.
- Experience building products for non technical business users.
Salary Range
- CAD 85,000 CAD 90,000 CAD annually
Work Arrangement
- Fixed term contract for one year, with possibility of extension.
- Hybrid work model: three days in office (Tuesday Thursday), two days work from home (Monday and Friday).
- May be required to be in office all 5 days during business requirements.
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