AI Developer

Company:

Marsh

Description:

We are seeking a talented individual to join our team at Marsh. This role will be based in Toronto. This is a hybrid role that has a requirement of working at least three days a week in the office.

This role will design develop and maintain scalable APIs and backend services in Python integrating LLM solutions data sources and AI pipelines. The ideal candidate will evaluate AI outputs implement guardrails collaborate with stakeholders on AI features and ensure code quality security and performance.

We will count on you to:

• Design build and maintain scalable backend services and APIs in Python (Flask FastAPI) supporting synchronous and asynchronous patterns with a focus on performance reliability and security.

• Develop and expose production-grade AI/LLM APIs (REST WebSocket streaming) with authentication and efficient response handling.

• Implement LLM solutions (GPT open-source models) including prompt design evaluation versioning and optimization for cost and performance.

• Build and maintain RAG pipelines (ingestion embeddings vector search with pgvector) and agent workflows (MCP/function calling).

• Integrate external/internal tools and data sources (databases APIs file systems messaging platforms) for LLM-based agents utilizing schemas queries and ORM tools like SQLAlchemy.

• Apply deep learning frameworks (TensorFlow Keras) and transformer architectures (BERT variants) along with classical machine learning (scikit-learn) and statistical techniques for cost-effective solutions.

• Conduct systematic evaluation and monitoring of AI/LLM outputs (quality hallucination mitigation latency cost KPIs) implementing guardrails and content filtering.

• Collaborate with stakeholders to translate business goals into measurable AI features and success metrics and participate in code reviews to ensure quality and security.

What you need to have:

• 2 years of experience in a corporate IT environment

• 1 year of experience in Artificial Intelligence Machine Learning Python Flask and FastAPI; sound software design debugging and performance profiling skills.

• Solid SQL Server & PostgreSQL knowledge (schema design indexing optimization; ORM experience).

• Maintaining adherence to security privacy and compliance best practices (secret management data handling access control).

• Organized self-directed and deadline-focused in distributed team environments.

• Fast learner quality conscious and committed to deadlines

• Committed to documentation and code review.

• Excellent analytical and effective communication skills

What makes you stand out:

• Exposure to containerization and orchestration (Docker Kubernetes) for deployment workflows.

• CI/CD familiarity (e.g. GitHub Actions) for automated testing build and deployment pipelines.

• Light JavaScript for integration or tooling.

Why join our team:

• We help you be your best through professional development opportunities interesting work and supportive leaders.

• We foster a vibrant and inclusive culture where you can work with talented colleagues to create new solutions and have an impact on colleagues clients and communities.

• Our scale enables us to provide a range of career opportunities as well as benefits and rewards to enhance your well-being.

#LI-JG3

Marsh McLennan (NYSE: MMC) is a global leader in risk strategy and people advising clients in 130 countries across four businesses: Marsh Guy Carpenter Mercer and Oliver Wyman. With annual revenue of $24 billion and more than 90000 colleagues Marsh McLennan helps build the confidence to thrive through the power of perspective. For more information visit or follow on LinkedIn and X.

Marsh McLennan is committed to embracing a diverse inclusive and flexible work environment. We aim to attract and retain the best people and embrace diversity of age background disability ethnic origin family duties gender orientation or expression marital status nationality parental status personal or social status political affiliation race religion and beliefs sex/gender sexual orientation or expression skin color or any other characteristic protected by applicable accordance with the Accessibility for Ontarians with Disabilities Act 2005 Marsh McLennan will provide a reasonable accommodation to employees and prospective employees to the point of undue hardship upon request and as required in respect of the individuals particular restrictions and limitations. If you require a specific accommodation because of a disability or medical need please contact

Marsh McLennan is committed to hybrid work which includes the flexibility of working remotely and the collaboration connections and professional development benefits of working together in the office. All Marsh McLennan colleagues are expected to be in their local office or working onsite with clients at least three days per week. Office-based teams will identify at least one anchor day per week on which their full team will be together in person.