TekStaff's Client has a current vacancy for a AI Engineeer
Job Description
AI Engineer Description
This is a fantastic opportunity for an experienced Senior AI Engineer to join the Loblaw Technology team.
The ideal candidate will be passionate about building reliable and practical AI agents and AI workflows powered by Large Language Models (LLMs). You
will use Python, LangGraph, Langfuse, Model Context Protocol (MCP), and Google Cloud to develop AI agents, Retrieval-Augmented Generation (RAG)
solutions, and production-ready AI services.
You will work in a fast-paced organization using Agile/Scrum methodologies and collaborate with product managers, software engineers, and business
stakeholders to deliver AI solutions for customer service and operational requirements.
Principal Responsibilities
Design and develop LLM-powered applications using Python
Build AI agents and workflows using LangGraph
Develop RAG solutions using enterprise data, embeddings, and vector search
Build and integrate MCP servers to connect AI agents with enterprise tools, data, and services
Implement LLM tracing, monitoring, and evaluation using Langfuse
Develop and deploy AI services on Google Cloud
Create APIs and integrations for AI capabilities
Write unit and integration tests to ensure solution quality
Evaluate AI outputs for accuracy, relevance, reliability, and safety
Monitor and troubleshoot AI applications in production
Collaborate with product, engineering, architecture, and business teams
Contribute to AI engineering standards and reusable development patterns
Mentor developers and provide guidance through design and code reviews
Remain current with developments in LLMs and generative AI
Required Skills and Experience
5+ years of professional software development experience
2+ years of experience developing agentic AI or LLM-powered applications
Strong Python development experience
Hands-on experience building applications with LLMs
Experience with LangGraph, LangChain, or a similar AI application framework
Experience with Langfuse or another LLM observability platform
Understanding of Model Context Protocol (MCP) and its use in connecting AI agents with tools and enterprise systems
Experience with Google Cloud services such as Vertex AI and BigQuery
Experience building RAG solutions using embeddings and vector search
Experience developing RESTful APIs using FastAPI, Flask, or a similar framework
Understanding of prompt engineering, tool calling, structured outputs, and context management
Experience with automated testing, Git, and CI/CD practices
Understanding of data privacy, AI safety, and responsible AI principles
Experience working with Agile methodologies
Excellent verbal and written communication skills
Desirable Skills and Experience
Hands-on experience developing or integrating MCP servers and clients
Experience with Gemini, OpenAI, Anthropic, or open-source LLMs
Experience with vector databases such as Vertex AI Vector Search, Pinecone, pgvector, or Supabase
Experience with Docker and containerized deployments
Familiarity with event-driven systems such as Pub/Sub
Familiarity with LLM evaluation frameworks
Experience working with high-traffic enterprise applications
Experience in retail, e-commerce, loyalty, customer service, or supply-chain environments
Experience with collaboration tools such as JIRA and Confluence
Personal Skills & Qualities
Self-motivated with a strong team spirit
Strong problem-solving and troubleshooting skills
Ability to work independently and collaborate effectively within a team
Comfortable working with evolving requirements and technologies
Strong sense of ownership and accountability
Ability to manage multiple priorities in a fast-paced environment
Ability to communicate AI concepts to technical and non-technical stakeholders
Commitment to building reliable, secure, and responsible AI solutions
TekStaff may use artificial intelligence (AI) tools as part of the applicant screening process. However, applications will also be reviewed by a member of our Recruitment team to ensure a fair and thorough assessment.
