Backend Python Developer - GenAI Focus

Randstad Enterprise; Montreal; On-site; CAD 90,000 - 120,000; Full time

Job summary

Randstad Enterprise in Montreal, Canada, seeks a Backend Python Developer with GenAI focus to drive key initiatives. Design, build, and scale backend services in Python within an agile team, collaborating across global groups.

You will leverage GenAI coding assistants, write unit tests, and adapt to evolving requirements while learning Morgan Stanley’s frameworks referenced in the role. This position emphasizes robust code, teamwork, and continuous improvement.

Qualifications

• 7+ years of Python development experience, with 5+ years hands-on Python work.
• GenAI coding assistants (Copilot) experience, Agent mode usage.
• Database proficiency in PostgreSQL and MongoDB (NoSQL/SQL).
• DevOps practices: CI/CD, containerization, observability tools.
• Strong analytical, collaborative, and communication skills.
• Ability to write thorough unit tests using coding assistants.

Responsibilities

• Design, develop, and implement scalable solutions using Python and React within a dynamic, agile team.
• Leverage GenAI tools and coding assistants to enhance development velocity and solution quality.
• Collaborate with global teams to translate business requirements into robust technical solutions.
• Participate in scrum meetings, report on project status, and adapt to evolving regulatory requirements.
• Learn and apply Morgan Stanley’s proprietary frameworks and best practices.
• Write comprehensive unit tests to ensure code reliability and maintainability.
• Respond proactively to change, mastering new technical and business concepts as needed.

Skills

Python

GenAI tools

PostgreSQL

MongoDB

CI/CD

Observability

Analytical skills

Teamwork

Communication

Unit testing

Tools

Copilot

Job description

Job Title: Backend Python Developer - GenAI Focus

We are seeking an accomplished Backend Python Developer with expertise in GenAI technologies to join the team and drive key initiatives forward.

Responsibilities

• Design, develop, and implement scalable solutions using Python and React within a dynamic, agile team.
• Leverage Generative AI tools and coding assistants to enhance development velocity and solution quality.
• Collaborate with global teams to translate business requirements into robust technical solutions.
• Participate in scrum meetings, report on project status, and adapt to evolving regulatory requirements.
• Learn and apply Morgan Stanley’s proprietary frameworks and best practices.
• Write comprehensive unit tests to ensure code reliability and maintainability.
• Respond proactively to change, mastering new technical and business concepts as needed.

Skills & Experience Required

• Python: Overall 7+ years of development experience with 5+ years of hands‑on experience in Python. Proven ability to write optimized, efficient, and clean code.
• GenAI Coding Assistant: Experience with coding assistants like copilot, using Agent mode, Skills, etc.
• Databases: Proficiency in RDBMS and NoSQL databases, preferably PostgreSQL, MongoDB, and related technologies.
• SDLC : Experience with DevOps practices: CI/CD pipeline management, containerization, observability tools.
• Analytical Skills: Ability to design and implement effective solutions to complex problems.
• Teamwork & Communication: Strong work ethic, collaborative spirit, and clear communication skills, both oral and written.
• Testing: Ability to write thorough unit tests covering all major logic components, preferably using coding assistant.

Skills & Experience Desired

• GenAI application development: Usage of LLM models for application, Agentic implementation, usage of tools to integrate data into LLM context, etc.
• Linux/Unix & Shell Scripting: Solid working knowledge.
• Advanced database skills, including PL/SQL and query optimization.
• Exposure to various application types: web, batch, and streaming.
• Experience working in global Agile Scrum teams.