Senior Developer – AI Application Development

Mila - Quebec Artificial Intelligence Institute

. Design, develop, and evolve backend architectures using Python, FastAPI, and APIs .

Posted 10/6/2026full-timeMontreal • CanadaSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in backend architecture design and development using Python and FastAPI, with a strong focus on AI model integration and optimization of AI pipelines. Proven ability to lead technical initiatives, mentor developers, and ensure software engineering best practices are followed.

Highest-signal resume keywords

Python ProgrammingFastAPI DevelopmentAI Model IntegrationSoftware ArchitectureBilingual Proficiency

ATS Keywords

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Hard Skills

Backend DevelopmentAPI DevelopmentDatabase IntegrationDistributed SystemsSoftware TestingCI/CD PracticesPerformance OptimizationLLMsRAGEmbeddings

Soft Skills

MentoringCollaborationTechnical Leadership

Tools & Technologies

GCPAzureDockerKubernetesQdrantMilvusWeaviateLangChainObservability ToolsMonitoring Metrics

Industry Keywords

GenAIAI EcosystemAgent ArchitecturesComplex RAG SystemsEvaluation Frameworks

Tech Stack

Tools & technologies

AzureCloudDockerFluxGoogle Cloud PlatformJavaScriptKubernetesNext.jsPythonReact

About the role

Key responsibilities & impact

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
Promote software engineering best practices, including testing, CI/CD, architecture, and documentation
Participate in code reviews, technology selection, and quality improvement initiatives
Mentor, advise, and support less experienced developers
Contribute to the reliability, performance, and security of deployed applications
Collaborate with researchers, engineers, designers, and project managers to align products with user needs
Document architectures, data flows, technical decisions, and shared modules
Develop internal tools and reusable components for the AI ecosystem
Maintain strategic awareness of GenAI, LLMOps, RAG, and emerging agent architectures
Transform prototypes, advanced models, and research ideas into robust platforms, real-world products, and interactive demonstrations

Requirements

What you’ll need

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 proficiency in Python, APIs, database integrations, and distributed services
Strong skills in software architecture, service design, and engineering best practices, including 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 required due to interactions with English-speaking partners, stakeholders, and members of the academic community
Expertise in FastAPI, cloud orchestration on GCP or Azure, and containerized environments using Docker or Kubernetes
Experience with Qdrant, Milvus, Weaviate, or other vector stores
Knowledge of agent architectures, LangChain, complex RAG systems, or evaluation frameworks
Frontend knowledge of React or Next.js is an asset
Experience with observability, monitoring, metrics, and AI system optimization
Interest in GenAI production patterns, including evaluation, guardrails, optimized retrieval, and agent memory

Benefits

Comp & perks

The opportunity to contribute to a unique mission with significant impact
A comprehensive group insurance plan, including health, dental, disability, life, travel, and supplemental coverage
An employee and family assistance program
Access to telemedicine services
A vacation policy providing a minimum of 20 vacation days from the date of hire
A retirement savings plan with a minimum employer contribution of 4%
A generous flexible benefits allowance that can be tailored to individual needs, including lifestyle credits, enhanced insurance coverage, additional vacation days, and an increased retirement plan contribution
Flexible working hours, summer hours, and remote work opportunities
A workplace in the heart of Little Italy, in the Mile Ex neighbourhood, close to public transit
A team of experts in their respective fields
A collaborative and inclusive work environment