Full Stack Developer – Agentic AI

Quebec City, QC (Hybrid) Full time

Job Summary

Our team carries out research and development (R&D) work to meet the needs of the Department of National Defence (DND) and the Canadian Armed Forces (CAF). The projects focus on innovative digital solutions combining software development, systems integration, modern infrastructure and generative artificial intelligence.

As part of accelerating our artificial intelligence initiatives, we want to develop a new generation of applications based on Agentic AI. These solutions go beyond traditional conversational assistants by allowing intelligent agents to analyze data, reason, make decisions, orchestrate complex workflows and interact with multiple enterprise systems in an autonomous and secure manner.

We are looking for a Full Stack Developer specializing in generative AI and Agentic AI to join our team in Quebec City, specializing in knowledge management. Our multidisciplinary team focuses on data collection, transformation and enrichment. Our projects involve defining and deploying automated processing chains to make data accessible to users. With the support of our data scientists, the team designs, trains and integrates artificial intelligence models, including generative AI (GenAI) based on large language models (LLMs), to improve data analysis. Our team also uses AI and machine learning (ML) concepts to increase analysis efficiency.

Essential Functions

The person holding the Full Stack Developer position specializing in generative AI and Agentic AI will play a key role in the design, development and deployment into production of intelligent platforms and applications integrating language models (LLMs), multi-agent architectures, RAG (Retrieval-Augmented Generation) engines, orchestration tools and next-generation cloud services. The person occupying this position will contribute to strategic projects aimed at improving operational efficiency, decision support and the automation of complex processes in environments where security, reliability and traceability are essential. This person must be autonomous, curious and comfortable in an R&D context where needs evolve rapidly. This person will work with architecture, development and artificial intelligence specialist teams to transform technical concepts into concrete, demonstrable and scalable solutions.

This person is part of a multidisciplinary team. A strong team spirit and the ability to work collaboratively are mandatory. The ideal person is therefore able to demonstrate transversal skills that facilitate the transfer of the work done to all concerned stakeholders. Therefore, good communication skills are required.

Responsibilities of the Full Stack Developer in Agentic AI:

• Participate in the integration of generative AI solutions, RAG pipelines, vector embeddings and semantic search mechanisms.
• Develop or integrate MCP tools and MCP servers.
• Contribute to the integration of language models, agents or AI components into application solutions.
• Develop connectors allowing AI systems to interact with APIs, databases, internal services or external systems.
• Participate in prototyping, experimentation and evaluation of solutions based on generative AI and agentic systems.
• Develop backend services, APIs, microservices and integration components primarily in Python.
• Participate in the development of lightweight interfaces, web prototypes, demonstrators or internal tools.
• Integrate frontend, backend components, AI services, databases, APIs and external systems.
• Create, maintain and optimize Docker images.
• Develop, adapt and maintain Helm charts for Kubernetes environments.
• Participate in the automation of deployments, configurations and runtime environments.
• Diagnose and resolve issues related to containers, dependencies, configurations and Kubernetes environments.
• Collaborate with architects, developers, AI specialists and other technical stakeholders.
• Apply good practices of development, security, documentation, testing and code review.
• Participate in the team's Agile activities.
• Contribute to the continuous improvement of development, DevOps, CI/CD and automation practices.

Minimum Requirements

• Master's or Bachelor's degree in computer science, engineering, information technology or any other related and relevant field.
• Minimum of 2 years of relevant experience in software development, fullstack development, backend, software infrastructure or DevOps.
• Experience in Agile methodology, notably Scrum or Kanban.
• Experience in development with Python.
• Experience with CI/CD tools such as GitLab CI.
• Experience with containerization, notably Docker.
• Experience with databases and their deployment.
• Experience in the development and maintenance of ETL type data flows, transformation, synchronization, etc.
• Experience with artificial intelligence, generative AI or machine learning. Ability to deploy AI/ML models (FastAPI).
• Experience with frameworks related to generative AI or agentic systems, for example LangChain, LangGraph, LlamaIndex or equivalents.
• Experience with RAG pipelines, vector embeddings, vector databases or semantic search.
• Experience with Kubernetes or cloud-native environments, with the creation, modification or deployment of Helm charts.
• Ability to develop and integrate backend services, APIs, microservices or integration components.
• Ability to intervene on web interfaces, application prototypes, internal tools or technical demonstrators.
• Good understanding of Linux environments, scripts, application configuration and technical diagnosis.
• Experience or strong interest in artificial intelligence, generative AI or machine learning.
• Ability to work in an agile context where needs can evolve rapidly.
• Ability to clearly document developed components and associated technical procedures.
• Mastery of French and ability to work in English in a technical context.

Desirable Qualifications

• Experience with the MCP protocol, including the development of MCP tools or MCP servers.
• Experience with modern frontend frameworks such as React, Angular or equivalents.
• Knowledge of application security best practices, secrets management and hardening of containerized environments.
• Knowledge of the defense domain, military intelligence or the Canadian Armed Forces context.

Physical Requirements

This position may require the employee to set up equipment and conduct field experiments in an outdoor environment.

Thales provides an extensive benefits program for all full-time employees working 24 or more hours per week and their eligible dependents, including the following:

• Company paid Extended Health, Dental, HSA, Life, AD&D, Short-term Disability, travel insurance, Employee Assistance Plan and Well-Being program.
• Retirement Savings Plans (RRSP, DCPP, TFSA) with a company contribution and a match to a DCPP, with no vesting period.
• Company paid holidays, vacation days, and paid sick leave.
• Voluntary Life, AD&D, Critical Illness, Long-Term Disability.
• Employee Discounts on insurance (home, and auto).

Thales is an equal opportunity employer which values diversity and inclusivity in the workplace. Thales is committed to providing accommodations in all parts of the interview process. Applicants selected for an interview who require accommodation are asked to advise accordingly upon the invitation for an interview. We will work with you to meet your needs. All accommodation information provided will be treated as confidential and used only for the purpose of providing an accessible candidate experience.

This position requires direct or indirect access to hardware, software or technical information controlled under the Canadian Export Control List, the Canadian Controlled Goods Program, the Canadian Industrial Security Program, the US International Traffic in Arms Regulations (ITAR) and/or the US Export Administration Regulations (EAR). All applicants must be eligible or able to obtain authorization for such access including eligibility to the Canadian Controlled Goods Program and able to obtain a Canadian NATO Secret clearance.