Python & Generative AI Developer

Role : Python development, Generative AI solutions, database technologies, DevOps practices, and Unix / Linux shell scripting.

Location : Montreal

Hybrid : In office 3 days a week

We are seeking a highly skilled Software Engineer with strong expertise in Python development, Generative AI solutions, database technologies, DevOps practices, and Unix / Linux shell scripting. The ideal candidate will be responsible for designing, developing, deploying, and supporting scalable AI‑driven and data‑intensive applications in a cloud‑native environment.

Key Responsibilities :

• Application Development :

Design, develop, and maintain robust Python‑based applications and services.

Build scalable APIs and backend services using Python frameworks such as Flask, FastAPI, or Django.

Write clean, efficient, and reusable code following best software engineering practices.

Design and implement Generative AI solutions using Large Language Models (LLMs).

Integrate models such as OpenAI, Azure OpenAI, Hugging Face, or similar frameworks into enterprise applications.

Implement prompt engineering, embeddings, vector search, and Retrieval‑Augmented Generation (RAG) patterns.

Collaborate with data science teams to productionize ML / GenAI models.

Design and manage relational databases such as PostgreSQL, MySQL, Oracle, or SQL Server.

Work with NoSQL databases like MongoDB, Cassandra, or DynamoDB as required.

Develop optimized SQL queries, stored procedures, and data pipelines.

Ensure data integrity, performance tuning, and efficient storage strategies.

Implement CI / CD pipelines using tools such as Jenkins, GitHub Actions, GitLab CI, or similar.

Containerize applications using Docker and orchestrate deployments with Kubernetes.

Manage cloud infrastructure on AWS, Azure, or GCP using Infrastructure as Code (Terraform, ARM, or CloudFormation).

Monitor application health, performance, and reliability using logging and monitoring tools.

Develop and maintain Unix / Linux shell scripts (Bash, Korn, or Shell) for automation and operational tasks.

Troubleshoot application and system issues on Linux platforms.

Perform environment setup, batch job scheduling, and process automation.

Collaborate with cross‑functional teams including product, QA, security, and operations.

Follow enterprise standards for security, compliance, and documentation.

Participate in code reviews, design discussions, and technical mentoring.

Required Skills & Qualifications :

Strong proficiency in Python programming

Hands‑on experience with Generative AI / LLMs

Solid understanding of SQL and NoSQL databases

Experience with DevOps tools and cloud platforms

Strong Unix / Linux and shell scripting skills

Familiarity with REST APIs, microservices, and event‑driven architectures

Experience in BFSI or regulated environments

Knowledge of security best practices, IAM, and data privacy

Exposure to vector databases (Pinecone, FAISS, Chroma, etc.)

Experience with MLOps frameworks and model monitoring