sr. ai engineer - python.

position as our AI initiatives expand, giving you the opportunity to shape the technical direction
of our AI platform.?

Advantages
Preferred Qualifications
 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

Responsibilities
What You Will Do
 Lead the architecture and development of sophisticated agentic AI solutions that power
Our cleint 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

Qualifications
To succeed in this role, you will need a combination of experience, technology skills, personal
qualities, and education.
Required Qualifications
 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

Summary
Notes
 Successful candidates might be required to undergo background (work and education)
verification with an external vendor.

Randstad Canada is committed to fostering a workforce reflective of all peoples of Canada. As a result, we are committed to developing and implementing strategies to increase the equity, diversity and inclusion within the workplace by examining our internal policies, practices, and systems throughout the entire lifecycle of our workforce, including its recruitment, retention and advancement for all employees. In addition to our deep commitment to respecting human rights, we are dedicated to positive actions to affect change to ensure everyone has full participation in the workforce free from any barriers, systemic or otherwise, especially equity-seeking groups who are usually underrepresented in Canada's workforce, including those who identify as women or non-binary/gender non-conforming; Indigenous or Aboriginal Peoples; persons with disabilities (visible or invisible) and; members of visible minorities, racialized groups and the LGBTQ2+ community.

Randstad Canada is committed to creating and maintaining an inclusive and accessible workplace for all its candidates and employees by supporting their accessibility and accommodation needs throughout the employment lifecycle. We ask that all job applications please identify any accommodation requirements by sending an email to accessibility@randstad.ca to ensure their ability to fully participate in the interview process.