AI Engineer (Python and AI)

Collabera; Toronto; Hybrid; CAD 110,000 - 170,000; Full time

Benefits offered by this job

Hybrid work model

Competitive contractor benefits

Job summary

Collabera is hiring an AI Engineer in Toronto with 6+ years of software experience and 1-2+ years building GenAI apps. You will craft GenAI-powered products using Python, React/Next.js, and AWS, building LLM pipelines, RAG solutions, and AI agents.

You’ll own architecture through deployment, work with product managers, data scientists, and stakeholders, and leverage LangChain, LlamaIndex, Bedrock, and other LLMs to deliver production-ready systems.

Qualifications

• 6+ years of software/application engineering experience.
• 1-2+ years building GenAI applications.
• Strong Python development with production ownership of apps and APIs.
• Hands-on GenAI experience using RAG, LLM pipelines, and Agentic AI.
• Strong AWS experience for cloud-native apps (Bedrock, EKS, Lambda, or Fargate).

Responsibilities

• Design and build GenAI-powered applications using Python, React/Next.js, and AWS.
• Develop LLM pipelines, RAG/Graph RAG solutions, AI agents, APIs, and prompts.
• Build cloud-native apps with AWS services such as EKS, Lambda, Fargate, Glue, and Lake Formation.
• Deploy solutions with Docker, Terraform, and DevSecOps practices; own end-to-end delivery.
• Collaborate with product managers, data scientists, and business stakeholders.

Skills

GenAI applications

Python development

RAG architecture

Agentic AI

AWS cloud-native development

Tools

LangChain

LlamaIndex

Bedrock

EKS

Lambda

Fargate

Terraform

Docker

Job description

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.