Python & Generative AI Developer

2 days ago


Montreal administrative region, Canada Astra-North Infoteck Inc. ~ Conquering today’s challenges, achieving tomorrow’s vision! Full time

Overview Role: Python development, Generative AI solutions, database technologies, DevOps practices, and Unix/Linux shell scripting. Location: Montreal Hybrid: In office 3 days a week 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. Generative AI & Machine Learning 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. Database & Data Management 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. DevOps & Cloud Engineering 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. Unix / Shell Scripting 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. Collaboration & Governance 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 Technical Skills 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 Preferred Skills 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 #J-18808-Ljbffr



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