Ai Engineer (Python And Ai)

Type:
Contract, 6 months + possibility of extension
Location:
Toronto, ON (hybrid - 3 day/week onsite)
Collabera is seeking an
AI Engineer
to support the AI & Emerging Technology team at a major Canadian pension fund. This role is focused on
building production applications and products that leverage Generative AI, rather than developing machine learning models from scratch.
The ideal candidate is a strong
application/software engineer with hands-on GenAI experience
who can take existing LLM capabilities such as GPT, Claude, Gemini, or LLaMA and build applications, APIs, agents, RAG solutions, and other AI-powered features on top of them.
This person should be particularly strong in
Python, AWS, GenAI application development, RAG, and agentic AI. They will own solutions from architecture through development and deployment, working closely with product managers, data scientists, and business stakeholders. Capital markets experience is a plus, particularly for use cases such as market analysis.
Day-to-Day Responsibilities:
The AI Engineer will design and build
GenAI-powered applications and products
using Python, React/Next.Js, and AWS. They will develop LLM pipelines, RAG/Graph RAG solutions, AI agents, MCP integrations, APIs, and prompt-based applications using technologies such as Lang Chain, LlamaIndex, Bedrock, and commercial/open-source LLMs. The engineer will build cloud-native applications using AWS services such as EKS, Lambda, Fargate, Glue, Athena, and Lake Formation while deploying solutions through Docker, Terraform, and DevSecOps practices. They will own solutions end-to-end, including architecture, coding, testing, deployment, performance optimization, monitoring, and ongoing improvements.
Must-Haves:
6+ years of software/application engineering experience, including 1-2+ years building GenAI applications
Strong
Python development
experience with hands-on ownership of production applications, APIs, and microservices
Hands-on experience building
GenAI applications using RAG, LLM pipelines, and Agentic AI
Strong
AWS experience
building and deploying cloud-native applications, ideally using Bedrock and services such as EKS, Lambda, or Fargate
Experience with
GenAI frameworks and LLMs
such as Lang Chain/LlamaIndex and GPT, Claude, Gemini, or LLaMA
Plusses:
Hands-on experience with
MCP and/or Graph RAG architectures
Experience with
vector/graph databases
such as PGVector, Weaviate, Milvus, Neo4j, or Neptune
Experience with
Docker, Terraform, CI/CD, DevSecOps, Airflow, and automated AI testing/evaluation
Capital markets/investment management experience, particularly working with market analysis or enterprise financial data
We may use AI-enabled and/or automated tools to support parts of our recruitment process, including application screening, interview scheduling, and candidate communications. These tools are used to enhance consistency and efficiency. All hiring decisions involve human review and are not based solely on automated processing.
The Company offers a total rewards package in accordance with all applicable federal, provincial, and local laws and requirements. Benefit eligibility and offerings vary based on role, employment status, and work location. For contractor positions, benefits are limited to those entitlements and protections required by applicable law, which may include (as applicable) vacation pay, public holidays, leaves of absence, and other legally mandated benefits or payments.
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