2 months ago
Mississauga, CanadaMid Level / Senior
Base Salary
$94k - $142k/yr
Responsibilities
- Build and integrate generative AI applications using pre-trained and hosted foundation models through managed APIs and open-model endpoints.
- Design context-engineering and prompt-engineering workflows using retrieved knowledge, tools, memory, metadata, and token-efficient prompts.
- Develop and maintain RAG systems with chunking, embeddings, hybrid search, vector databases, and re-ranking.
- Assist with knowledge graphs, Graph RAG pipelines, and multi-hop retrieval.
- Build agentic workflows with tool calling, structured planning, memory, and agent-to-agent collaboration.
- Integrate agents with external tools and data sources through MCP and A2A protocols.
- Deploy, monitor, and maintain generative AI and agentic applications in production.
- Perform data preprocessing, document ingestion, and API development.
- Collaborate with data scientists and engineers and participate in code reviews, testing, documentation, and knowledge sharing.
Requirements
- Bachelor’s or master’s degree in Computer Science, Data Science, AI, or a related field.
- 3–5 years of professional experience in software or AI development, including exposure to generative AI and agentic AI.
- Proficiency in Python for generative AI development, data preprocessing, and scripting.
- Understanding of foundation models, LLMs, tokenization, embeddings, and context windows.
- Hands-on experience with prompt engineering, context engineering, and RAG systems.
- Familiarity with knowledge graphs, Graph RAG, vector databases, hybrid search, and re-ranking.
- Exposure to agent development using Google ADK, LangGraph, CrewAI, or the OpenAI Agents SDK.
- Working knowledge of tool/function calling, MCP, agent session and state management, memory, guardrails, and execution controls; awareness of A2A.
- Experience consuming OpenAI, Gemini, or Claude APIs and using LangChain or LlamaIndex.
- Understanding of Docker, Git, application deployment, containerization, AI compliance, data privacy, guardrails, and responsible AI.
- Strong teamwork, communication, analytical, learning, and continuous-improvement skills.
- Exposure to AWS, GCP, or Azure cloud-based AI/ML environments is preferred.
Benefits
- Full-time position.
- Primary location salary range is $94,300.00–$141,500.00.
Categories
About Citi
Citi is a public financial-services company offering consumer and institutional banking, credit cards, wealth management, treasury and trade solutions, and capital-markets services. It serves individuals, corporations, financial institutions, and governments in more than 160 countries and jurisdictions, earning interest and fee income from lending, payments, trading, and advisory. Founded in 1812 and headquartered in New York, it trades on the NYSE under the ticker C.