Senior AI Engineer, Randstad

Randstad

Location:
Canada, Etobicoke

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Not provided

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Job Description:

The Senior AI Engineer (Agentic AI Lead) plays a key role in our AI team, leading the development of agentic AI solutions, retrieval-augmented generation systems, and tool integration for task automation. You will drive innovation in AI workflows and oversee complex architecture design for our client's One Intelligence. This role will evolve into a Lead AI Architect position as our AI initiatives expand, giving you the opportunity to shape the technical direction of our AI platform.

Job Responsibility:

Lead the architecture and development of sophisticated agentic AI solutions that power Our client One Intelligence
Design and implement advanced retrieval-augmented generation (RAG) systems to enhance the capabilities of our AI platform
Develop and integrate tools that enable AI-driven task automation for financial workflows
Build Text-to-SQL solutions that translate natural language into complex MDX queries across OLAP data structures
Create and maintain AI systems that process natural language input while maintaining accuracy in financial data analysis
Implement and refine evaluation frameworks for measuring and improving LLM performance
Architect and develop scalable AI solutions using AWS services (Bedrock, Lambda, SQS, API Gateway, OpenSearch)
Collaborate with the AI Product Owner and LLM Operations Engineer to ensure seamless integration of AI capabilities
Mentor and provide technical guidance to other engineers on the AI team
Stay at the forefront of AI advancements and apply cutting-edge techniques to solve complex financial analysis challenges

Requirements:

5+ years of experience in software engineering with at least 3 years focused on AI/ML development
Advanced Python programming skills with experience building production applications using Flask or FastAPI
Expert knowledge of retrieval-augmented generation (RAG) systems, vector databases, and embeddings
Experience working with leading LLM platforms including OpenAI SDK, LiteLLM, and AWS Bedrock
Demonstrated expertise in developing agentic AI solutions and tool integration frameworks
Strong knowledge of Text-to-SQL techniques and natural language processing
Experience with AWS services, particularly Lambda, SQS, API Gateway, and OpenSearch
Familiarity with LLM evaluation techniques (e.g., auto-evaluators like LLM-as-Judge)
Experience with LLM Operations platforms like Langfuse and monitoring tools like Datadog
Strong system design and architecture skills for complex AI applications
Excellent problem-solving abilities and attention to detail
Must be legally entitled to work in the country where the role is located

Nice to have:

Experience designing AI systems for financial applications or data analysis
Knowledge of OLAP data structures and MDX query language
Familiarity with implementing guardrails and safety measures for LLM applications
Experience with multi-agent systems that coordinate multiple LLMs to solve complex tasks
Background in machine learning operations (MLOps) or LLM operations (LLMOps)
Understanding of financial systems and data security requirements
Familiarity with implementing technical solutions to meet compliance requirements
Contributions to open-source AI projects or research publications in the field

Additional Information:

Job Posted:
April 26, 2025

Expiration:
June 15, 2025

Employment Type:

Fulltime

Work Type:

On-site work

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Senior AI Engineer