Sr Python Developer (with AI)

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.

Strong cloud experience (AWS preferred)

Experience with CI/CD pipelines

Strong unit and integration testing practices

Nice-to-Have Skills Capital Markets domain knowledge

Trading / Portfolio Management experience is preferred.

Workflow automation experience

CI/CD tooling (e.g., GitHub Actions)

Workflow orchestration experience

Terraform (infrastructure as code)

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