Développeur IA senior concevant des architectures backend et intégrant LLM, RAG et agents chez Mila. Livraison de plateformes GenAI fiables avec Python, FastAPI et systèmes distribués.
Responsibilities
Design, develop, and evolve backend architectures using Python, FastAPI, and APIs
Lead the integration of advanced AI models, including LLMs, agents, RAG, embeddings, and vector databases
Define, optimize, and oversee AI pipelines and distributed systems
Establish software engineering best practices, including testing, CI/CD, architecture, and documentation
Participate in code reviews, technology decisions, and quality improvement initiatives
Mentor, advise, and support less experienced developers
Contribute to the reliability, performance, scalability, and security of deployed applications
Collaborate with researchers, engineers, designers, and project managers
Document architectures, data flows, technical decisions, and shared components
Develop reusable internal libraries, frameworks, and components
Stay current with developments in GenAI, LLMOps, and agent architectures
Requirements
Bachelor’s or Master’s degree in computer science, software engineering, applied mathematics, AI, or a related field
5–7+ years of software development experience, including significant backend experience
Excellent command of Python, APIs, database integrations, and distributed services
Strong skills in software architecture, service design, testing, CI/CD, and performance optimization
Demonstrated experience with LLMs, RAG, agents, embeddings, or vector databases
Ability to work in a multidisciplinary environment and lead technical initiatives
Bilingual proficiency in French and English
Bachelor’s or Master’s in computer science, software engineering, applied mathematics, or a related field
5–7+ years of professional software development experience with a strong backend focus
Excellent command of Python, API development, distributed systems, and backend design
Proven experience integrating advanced LLM or RAG systems into real-world applications
Strong architectural thinking, system design, debugging, and performance optimization skills
Ability to lead initiatives in a multidisciplinary environment
Proficiency in French and English
Experience with FastAPI, cloud deployments (GCP, Azure), Docker, Kubernetes, vector databases, agent architectures, evaluation frameworks, observability, monitoring, metrics, tracing, logging, performance optimization, React, and Next.js is considered an asset
Benefits
Comprehensive group insurance plan, including medical, dental, disability, life, travel, and supplemental coverage
Employee and family assistance program
Access to telemedicine services
Vacation policy providing a minimum of 20 vacation days from the date of hire
Retirement savings plan with a minimum employer contribution of 4%
Generous flexible benefits allowance to personalize coverage, including lifestyle credits, enhanced insurance, additional vacation days, and increased retirement plan contributions
Flexible working hours
Summer hours
Remote work options
Workplace in the heart of Little Italy, in the Mile Ex neighborhood, close to public transit
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