Opens an external site
- Employment type
- Full-time
- Experience level
- Mid-level · 2+ years
- Minimum education
- Bachelor’s degree
- Posting language
- French
- Working hours
- 40 hours per week
Job summary
Design agentic architectures capable of understanding complex business specifications and generating high-quality deliverables like code, tests, and documentation, while industrializing the SDLC through a Spec-Driven approach to automate delivery pipelines. Act as a technical leader accelerating the adoption of agentic workflows among experienced developers and ensuring governance, ethics, explainability, and security by design for every agent.
Job details
Design agentic architectures capable of understanding complex business specifications and generating high-quality deliverables like code, tests, and documentation, while industrializing the SDLC through a Spec-Driven approach to automate delivery pipelines. Act as a technical leader accelerating the adoption of agentic workflows among experienced developers and ensuring governance, ethics, explainability, and security by design for every agent. Candidates must possess advanced mastery of agent orchestration frameworks like LangChain, CrewAI, or AutoGen, along with strong development skills in Java and/or GoLang, and Python, alongside experience with LLM integration (Claude, GPT-4, Llama 3) and RAG architectures. A degree in a related field is required, coupled with 3 to 5 years of professional software development experience, including 1 to 2 years deploying LLM solutions, preferably in highly regulated environments.
What you’ll do
Design agentic architectures capable of understanding complex business specifications and generating high-quality deliverables like code, tests, and documentation, while industrializing the SDLC through a Spec-Driven approach to automate delivery pipelines. Act as a technical leader accelerating the adoption of agentic workflows among experienced developers and ensuring governance, ethics, explainability, and security by design for every agent.
Requirements
Candidates must possess advanced mastery of agent orchestration frameworks like LangChain, CrewAI, or AutoGen, along with strong development skills in Java and/or GoLang, and Python, alongside experience with LLM integration (Claude, GPT-4, Llama 3) and RAG architectures. A degree in a related field is required, coupled with 3 to 5 years of professional software development experience, including 1 to 2 years deploying LLM solutions, preferably in highly regulated environments.
Benefits
- Collective Insurance
- RRSP Contribution
- Training
- Internet Allowance
- Cellular Allowance
- Physical Activity Stipend
- Work Setup Stipend
- Parking Reimbursement
- Metro Pass Reimbursement
- Telemedicine Service
Listed skills
- Node.js · Preferred
- Go · Preferred
- Amazon Web Services · Preferred
- Java · Preferred
- prompt engineering · Preferred
- Python · Preferred
Other relevant skills
Identified from the job description. Confirm important requirements above.
- LangChain
- CrewAI
- AutoGen
- Claude Code
- Codex
- OpenCode
- Amp
- Java
- GoLang
- Python
- Node.js
- AWS
- Bedrock
- Prompt Engineering
- RAG Architectures
- Vector Databases
Job areas
- Software
- Technology
- Engineering
- Data & Analytics
- Consulting
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