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.

📌 LLM and RAG Solutions Engineer (Halifax Regional Municipality)
🏢 Cognizant Technology Solutions
📍 Halifax Regional Municipality