AI Engineer [BHJOB13022_13620]

Ignite Technical; Richmond; Hybrid; CAD 90,000 - 130,000; Full time

Job summary

Ignite Technical is looking for an experienced AI Engineer for a hybrid contract role aimed at enhancing call center operations through AI. The ideal candidate will implement RAG models, manage knowledge graphs, and contribute to cutting-edge AI solutions, working closely with our public sector client to transform data analytics capabilities and ensure high-quality outputs.

Qualifications

• 6+ years of relevant IT experience required.
• Proficient in implementing RAG models and knowledge graphs.
• Experience with Azure cloud deployment.

Responsibilities

• Develop and implement RAG models for AI.
• Build knowledge graphs and manage ETL processes.
• Deploy AI solutions on Azure cloud.

Skills

Knowledge graph tools

RAG model implementation

Information retrieval methods

Python

Education

Undergraduate degree in computer science or STEM field

Tools

Neo4j

ArangoDB

Amazon Neptune

FAISS

Elasticsearch

Azure

AKS

Job description

On behalf of our Public Sector Client, Ignite Technical Resources is recruiting for a AI Engineer to join our Client's team on a contract basis. This role is Hybrid – twice a month onsitein Richmond, and the Client is based in Richmond.

Summary of the Role
Our client is seeking an experienced AI Engineer to support a project focused on using AI to transcribe and process call center recordings. The successful candidate will contribute to the development of retrieval-augmented generation (RAG) models and graph-based AI solutions, helping advance data analytics and intelligent automation capabilities.

Duties & Responsibilities:

• Develop and implement RAG models that enhance AI's contextual understanding and response accuracy.
• Build and manage knowledge graphs for structured data representation and relationship modeling.
• Employ information retrieval techniques to create scalable and efficient retrieval systems.
• Conduct large-scale model training and apply optimization strategies to fine-tune generative AI models.
• Deploy AI solutions on Azure cloud platforms with consideration for scalability and performance.
• Handle ETL processes and prepare datasets for graph-based AI applications.
• Evaluate AI model outputs using performance and diversity metrics to ensure output quality.
  
  

Core Requirements:

• Undergraduate degree in computer science or STEM field with 6+ years of relevant IT experience.
• Hands-on experience with knowledge graph tools such as Neo4j, ArangoDB, or Amazon Neptune.
• Proficiency in RAG model implementation, including frameworks like Dense Retriever and GPT.
• Skilled in information retrieval methods and embedding-based search using FAISS or Elasticsearch.
• Familiarity with cloud deployment technologies, particularly on Azure and AKS.
  
  

Desired Skills & Experience:

• Exposure to advanced RAG techniques such as Lazy GraphRAG or MultiHop RAG.
• Knowledge of graph algorithms like PageRank and community detection.
• Experience with distributed model training and optimization for hardware acceleration.
• Proficiency in Python and familiarity with ETL pipelines.
• Background in embedding models and use of vector databases like CosmosDB or Pinecone.
  
  

Terms
This is a 12-month contract role with potential for extension. The position follows a hybrid model, requiring onsite presence in Richmond twice per month. Successful candidates will be subject to backcheck and reference checks at the offer stage.

About Ignite Technical: Based in Vancouver and proudly Canadian, Ignite Technical Resources has been providing Top Technical Talent to organizations across Canada since 2005.

Equal Opportunity Employer: Ignite Technical is an equal opportunity employer and is committed to providing equal employment opportunities to all individuals regardless of race, color, religion, sex, sexual orientation, disability, gender identity, national origin, or age.

Work Permits: Please note that Ignite’s Clients require all interested candidates to obtain the necessary work permits from the Government of Canada prior to submitting an application. This position is open exclusively to individuals residing in Canada and legally authorized to work in Canada. Applications not meeting these criteria will not be considered.

Further Consideration: We receive a high volume of applications and are only able to contact candidates who are selected for further consideration.

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