Fullstack developer, agentic specialist
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Before you apply
LocationMontreal (EN)
Work modehybrid
Typefull-time
SeniorityMid
Experience3+ yrs
DepartmentArtificial Intelligence
Company size51–200 people
PostedOct 29, 2026 · 6d ago
Verified live1d ago
At a glanceSummarised by Seekless from the posting.
3+ years of professional software development experience
Hands-on experience developing applications using large language models, AI APIs, or agentic frameworks through professional projects or substantial independent work
Strong programming skills in Python and familiarity with backend development, APIs, and software integrations
Understanding of LLM concepts, prompt and context engineering, tool calling, and RAG
Familiarity with modern software development practices, including version control, testing, code reviews, and CI/CD
Experience working with cloud services or deploying applications to production
Builder and tinkerer mindset with an appetite for hands-on solutions creation and solving technical challenges with initiative and resourcefulness
Ability to learn independently, stay up-to-date in a fast evolving technological landscape and contribute to team discussions
Comfortable collaborating with people from different technical backgrounds and asking questions when needed
Intermediate or conversational French (minimum)
Proficient with Python and general software development practices
Proficient with working with model APIs such as OpenAI, Anthropic Claude, or Google Gemini
Proficient with APIs, data exchange, external integrations, and asynchronous operations
Proficient with TypeScript or JavaScript and modern frontend frameworks
Proficient with tool calling, orchestration, structured outputs, and context management
Proficient with basic RAG architectures, embeddings, and vector search
Proficient with unit testing, debugging, Git, and code review practices
Proficient with basic cloud deployment concepts and CI/CD workflows
Experience with agentic frameworks such as LangGraph, LangChain, OpenAI Agents SDK, or similar tools
Building agents or LLM-powered applications used by real users
Model Context Protocol (MCP) and agent-tool integrations
Agent evaluation, observability, and monitoring tools
Multi-agent systems and workflow automation
AI coding assistants and agent-based development tools
Working on client projects or enterprise software solutions
Skills
Python
TypeScript
JavaScript
OpenAI
Anthropic Claude
Google Gemini
LangGraph
LangChain
OpenAI Agents SDK
Git
CI/CD
Benefits
Flexible hours
Work from anywhere
Paid sabbatical
Wellness spending account
Training
Pension plan
About the company
Who we are
We’re a thriving and agile tech development firm. People are at the center of everything we do. Simply put, we care. Our team personally cares about our clients and the world around them, and we care about our team’s life-long dreams, aspirations, and career development.
We strongly believe in the power of community. This is why we seek opportunities to build meaningful relationships with everyone around us.
We celebrate diversity in all its forms. Backgrounds, personalities, career paths, languages… you name it. We actively innovate, learn, and share stories around the topic. We want everyone to feel welcomed and included in all we do.
We like having fun and enjoying ourselves. We wake up every day inspired to build a more efficient and enjoyable world.
Role overview
At Osedea, we’re building software that takes advantage of a new generation of AI capabilities. From intelligent assistants to agents that interact with tools, data, and business systems, we’re exploring how Agentic AI can solve real problems for our clients.
We’re looking for an Agentic AI Developer who enjoys building software, experimenting with emerging technologies, and turning ideas into working solutions.
You’ll collaborate with experienced developers, AI specialists, designers, and clients to develop AI agents and integrate them into real products and workflows. You’ll have opportunities to work on different technical challenges, deepen your expertise in Agentic AI, and contribute to how we build these systems at Osedea.
We’re looking for someone with strong software development fundamentals, hands-on experience with LLM-powered applications, and the curiosity to keep learning as the technology evolves.
Your key responsibilities
•
Develop, test, and deploy AI agents and LLM-powered applications for client projects.
•
Build agentic workflows that integrate language models, external APIs, tools, and business data.
•
Implement patterns such as tool calling, structured outputs, context management, and retrieval-augmented generation (RAG).
•
Contribute to agent orchestration, workflow automation, and integrations with existing software systems.
•
Write clean, maintainable, and well-tested code following software development best practices.
•
Participate in evaluating agent behaviour, improving output quality, and troubleshooting reliability and performance issues.
•
Collaborate with senior developers on system design, architecture, and technical decisions.
•
Work with multidisciplinary teams to understand client requirements and translate them into functional solutions.
•
Explore emerging AI models, tools, and frameworks, and share what you learn with the team.
•
Take ownership of assigned features and contribute to their delivery from development through production.
The ideal candidate
•
3+ years of professional software development experience.
•
Hands-on experience developing applications using large language models, AI APIs, or agentic frameworks through professional projects or substantial independent work.
•
Strong programming skills in Python and familiarity with backend development, APIs, and software integrations.
•
Understanding of LLM concepts, prompt and context engineering, tool calling, and RAG.
•
Familiarity with modern software development practices, including version control, testing, code reviews, and CI/CD.
•
Experience working with cloud services or deploying applications to production.
•
Builder and tinkerer mindset with an appetite for hands-on solutions creation and solving technical challenges with initiative and resourcefulness.
•
Ability to learn independently, stay up-to-date in a fast evolving technological landscape and contribute to team discussions.
•
Comfortable collaborating with people from different technical backgrounds and asking questions when needed.
•
Intermediate or conversational French (minimum).
We value a strong technical foundation and demonstrated initiative. You don’t need to have mastered every emerging AI framework to succeed in this role.
You should be proficient with
•
Programming: Python and general software development practices.
•
LLM integration: Working with model APIs such as OpenAI, Anthropic Claude, or Google Gemini.
•
Backend development: APIs, data exchange, external integrations, and asynchronous operations.
•
TypeScript or JavaScript and modern frontend frameworks.
•
Agentic concepts: Tool calling, orchestration, structured outputs, and context management.
•
Retrieval: Basic RAG architectures, embeddings, and vector search.
•
Software quality: Unit testing, debugging, Git, and code review practices.
•
Infrastructure: Basic cloud deployment concepts and CI/CD workflows.
It’s a plus if you have experience with
•
Agentic frameworks such as LangGraph, LangChain, OpenAI Agents SDK, or similar tools.
•
Building agents or LLM-powered applications used by real users.
•
Model Context Protocol (MCP) and agent-tool integrations.
•
Agent evaluation, observability, and monitoring tools.
•
Multi-agent systems and workflow automation.
•
AI coding assistants and agent-based development tools.
•
Working on client projects or enterprise software solutions.
What we offer
•
Competitive Salary and contribution to your pension plan (RRSP)
•
Flexible hours of work and choose how you work
•
Work from anywhere up to 8 weeks
•
Paid sabbatical
•
Wellness and productivity spending account
•
Parental program
•
Activities
•
Training
•
And more…
Hiring process
The process for this role if you are selected
1.
20 min - Initial introductory call with a person from our technical team.
2.
90 min - In-person interview at our office
3.
Offer presentation
Only considered candidates will be contacted. Read our full hiring process here.