Develop LLM applications and RAG solutions remotely in Canada, using Python, embeddings, vector search, and enterprise knowledge sources.
As an experienced Python and AI Engineer, you will create AI-driven solutions for conversational AI, intelligent assistants, summarization, and workflow automation. The role combines Generative AI development with vector databases, APIs, and enterprise application integration. Applicants need 8+ years of software engineering experience.
Key Responsibilities: Design and implement Retrieval-Augmented Generation solutions
Build conversational AI and intelligent assistant applications
Integrate Azure OpenAI, OpenAI, Anthropic, or open-source models
Develop reusable AI services using FastAPI or Flask
Evaluate response quality, groundedness,



latency, and cost
Requirements: 8+ years of software engineering or application development experience
Hands-on experience developing LLM and Generative AI solutions
Experience with embeddings, vector search, and prompt engineering
Knowledge of Agentic AI concepts and workflow orchestration
Experience with Azure AI Search, Pinecone, Weaviate, FAISS, or pgvector
Bring Python, LLM, RAG, vector search, and prompt engineering expertise to enterprise AI solutions serving Canadian applicants remotely.

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📌 LLM and RAG Solutions Engineer (Alberta)
🏢 Cognizant Technology Solutions
📍 Alberta