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 solid 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.

📌 AI Engineer (Toronto)
🏢 Collabera
📍 Toronto