1 day ago
Toronto, CanadaMid Level

Responsibilities

  • Design, build, and maintain scalable backend services and APIs in Python using Flask and FastAPI.
  • Develop production-ready AI and LLM APIs with synchronous and asynchronous patterns, WebSocket streaming, authentication, and access control.
  • Implement GPT and open-source model solutions, including prompt design, evaluation, versioning, and cost/performance optimization.
  • Build RAG pipelines covering ingestion, embeddings, vector search, and agent/tool-calling workflows.
  • Integrate databases, APIs, file systems, messaging platforms, and other internal or external tools and data sources for LLM-based agents.
  • Develop database schemas, efficient queries, transaction handling, and ORM integrations with SQL Server and PostgreSQL.
  • Apply classical machine learning and statistical techniques when they provide simpler or more cost-effective solutions.
  • Write secure, reliable, efficient, and well-documented code while debugging and profiling performance.

Requirements

  • At least 3 years of experience in a corporate IT environment.
  • At least 1 year of experience across AI, machine learning, Python, Flask, and FastAPI, or a combination of at least three of these areas, with AI experience required.
  • Strong software design, debugging, and performance profiling skills.
  • Solid SQL Server and PostgreSQL knowledge, including schema design, indexing, optimization, and ORM experience.
  • Experience with security, privacy, compliance practices, secret management, data handling, and access control.
  • Strong commitment to secure, reliable, well-documented, quality-focused software.
  • Preferred exposure to Docker and Kubernetes for deployment workflows.
  • Preferred familiarity with GitHub Actions and automated testing, build, and deployment pipelines.
  • Preferred light JavaScript experience for integration or tooling.
  • Ability to work in an organized, self-directed, deadline-focused manner in distributed teams.

Benefits

  • Hybrid Toronto work arrangement requiring at least three days per week in the office or onsite with clients.
  • Professional development opportunities, interesting work, supportive leaders, and an inclusive and flexible work environment.
  • Benefits and rewards intended to support employee well-being.
  • Reasonable workplace accommodation is available as required under applicable law.

Tech Stack

DockerFastAPIFlaskGitHub ActionsJavaScriptKubernetesMicrosoft SQL ServerPostgreSQLPython
Marsh & McLennan Companies

About Marsh & McLennan Companies

501-1,000 employees

Marsh McLennan is a global professional services firm providing risk, insurance and reinsurance brokerage, health, wealth, and management consulting to corporations, governments, and nonprofits. It operates through Marsh, Guy Carpenter, Mercer, and Oliver Wyman, earning fees and commissions for advisory, analytics, and placement services. Founded in 1905 and headquartered in New York, it is publicly traded on the NYSE under the ticker MMC.

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