Sr Python Developer (with AI)
6-month B2B contract (possible renewal) for a senior Python developer embedded in a wealth management firm's portfolio management technology team in downtown Toronto (hybrid, 4 days/week in office). Day to day: autonomously building backend services, REST APIs, data pipelines, and LLM/AI integrations on AWS with CI/CD.
- Compensation
- CA$70–CA$82 / hr
- Location
- Toronto, Canada
- Work setup
- Not specified
- Seniority
- Senior
- Employment
- Contract
- Experience
- 6+ years
- Category
- Software engineering
- Posted
Skills
Must have
- Strong hands-on experience with Python — 6+ years
- Strong Python experience in enterprise environments
- Experience building RESTful services / APIs
- Experience implementing and integrating Large Language Models (LLMs) into enterprise systems and applications
- Demonstrated adoption of AI-assisted engineering tools and practices in day-to-day delivery
- Strong cloud experience (AWS preferred)
- Experience with CI/CD pipelines
- Strong unit and integration testing practices
- Prior consulting, advisory, or client-facing delivery experience
- Proven ownership and independent delivery without close supervision
- Strong problem-solving skills, including framing and solving problems in ambiguous situations
- Strong communication and stakeholder management skills, including proactive expectation management
Nice to have
- Capital Markets domain knowledge
- Trading / Portfolio Management experience
- Workflow automation experience
- CI/CD tooling (e.g., GitHub Actions)
- Workflow orchestration experience
- Terraform (infrastructure as code)
Full description
Sr Python Developer (with AI)
This is with a global IT services firm for a leading investment/wealth management services firm.
Client Location is downtown Toronto Ontario, close to TTC and GO service.
Hybrid - In Office 4 days per week.
Contract - 6 months, possible renewal
Target rate range: $70-82hr B2B
Project Description
We are seeking a skilled and passionate Senior Developer with hands-on contractor to support delivery within the Total Fund Management Portfolio Management Technology team. This role is suited for an experienced, self-directed software engineer who can operate with a high degree of autonomy, take ownership of outcomes, solve ambiguous problems, and deliver working solutions with minimal day-to-day oversight.
This is not a role for someone who requires detailed task breakdowns or constant direction. Once objectives and constraints are clear, you are expected to independently drive work to completion, proactively manage risks, communicate progress and trade-offs effectively, and manage stakeholder expectations.
Responsibilities
- Own timelines and deliverables, proactively managing scope, dependencies, and execution risks
- Independently frame, design, and deliver software solutions by engaging stakeholders, clarifying ambiguous requirements, and challenging assumptions
- Build backend services and RESTful APIs aligned to those designs
- Develop cloud-native applications (AWS preferred)
- Implement workflow automation and data pipelines where needed
- Contribute across the full software development lifecycle, including CI/CD
- Ensure solutions are production-ready, including testing, documentation, and handover
- Act as a reliable execution partner, proactively communicating progress, trade-offs, risks, and changes in expectations
Mandatory / Must Have Skills
- Strong hands-on experience with Python- 6+ years
- Prior consulting, advisory, or client-facing delivery experience
- Proven ownership and independent delivery without close supervision
- Strong problem-solving skills, including the ability to frame and solve problems in ambiguous situations
- Strong communication and stakeholder management skills, including proactive expectation management
- Demonstrated adoption of AI-assisted engineering tools and practices as part of day-to-day software delivery
- Strong Python experience in enterprise environments
- Experience building RESTful services / APIs
- Experience integrating modern AI, specifically experience implementing and integrating Large Language Models (LLMs) into enterprise systems and applications.