20 hours ago
Quebec City, CanadaMid Level
Responsibilities
- Integrate generative AI solutions, RAG pipelines, vector embeddings, semantic search, LLMs, agents, MCP tools, and MCP servers.
- Develop Python backend services, APIs, microservices, data connectors, and integrations with databases, internal services, and external systems.
- Build lightweight web interfaces, prototypes, demonstrators, and internal tools while integrating frontend, backend, AI, database, and external-system components.
- Create and optimize Docker images and develop, maintain, and deploy Helm charts in Kubernetes environments.
- Automate deployments, configurations, and execution environments and diagnose container, dependency, configuration, and Kubernetes issues.
- Participate in prototyping, experimentation, evaluation, documentation, testing, code reviews, and continuous improvement in a multidisciplinary R&D team.
Requirements
- Bachelor's or master's degree in computer science, engineering, information technology, or a relevant related field.
- At least 2 years of relevant experience in software, full-stack, backend, software infrastructure, or DevOps development.
- Experience with Python, GitLab CI or comparable CI/CD tools, Docker, databases and database deployment, and ETL-style data flows.
- Experience with AI, generative AI, or machine learning, including deploying AI/ML models with FastAPI.
- Experience with generative-AI or agentic-system frameworks such as LangChain, LangGraph, LlamaIndex, or equivalents.
- Experience with RAG pipelines, vector embeddings, vector databases, or semantic search.
- Experience with Kubernetes or cloud-native environments, including creating, modifying, or deploying Helm charts.
- Ability to develop backend services, APIs, microservices, integration components, web interfaces, prototypes, internal tools, and technical demonstrators.
- Good understanding of Linux environments, scripting, application configuration, and technical diagnosis.
- French fluency and ability to work in English in a technical and international context.
- Preferred qualifications include MCP protocol experience, modern frontend frameworks such as React or Angular, application security and secrets-management knowledge, and defense or Canadian Armed Forces experience.
- Must be eligible or able to obtain authorization for Canadian controlled-goods access and a Canadian NATO Secret clearance.
Benefits
- Company-paid extended health, dental, health spending account, life, accidental death and dismemberment, short-term disability, travel insurance, employee assistance, and well-being programs.
- Retirement savings plans including RRSP, DCPP, and TFSA, with company contributions and DCPP matching without a vesting period.
- Company-paid holidays, vacation days, and paid sick leave.
- Optional life, accidental death and dismemberment, critical illness, and long-term disability coverage.
- Employee discounts on home and automobile insurance.
- Full-time position in Quebec City, Quebec, with a hybrid work arrangement.
Tech Stack
Categories
About Thales
Thales designs and sells defense, aerospace, space, and digital identity/cybersecurity systems to governments, armed forces, infrastructure operators, and enterprises. Its portfolio spans avionics, radars and sensors, satellites, air traffic management, secure communications, and cybersecurity and identity solutions (bolstered by the 2019 Gemalto acquisition). Headquartered in Meudon, France, Thales is publicly traded on Euronext Paris (HO) and reported €20.6 billion in sales in 2024.