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Added 7 mins ago
Sr. Software Dev Engineer, Managed Platform Engineering
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Vancouver, BC
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Added 22 mins ago
Accounts Payable Specialist (9-Month Contract)
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Senior Agentic AI Developer
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Montreal, QC
- Full-time
Design, develop, and deploy production-grade AI agents and agentic platforms & workflows for complex business challenges.
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OSEDEA

Senior Agentic AI Developer

Montreal, QC, Canada

Full-time

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Job details

Job type: Full-time
Experience: 5+ years of professional software architecture and development experience
Posting language: English
Posted: Oct 29, 2026

Original job description

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

AI agents are changing how software is built and how organizations operate. At Osedea, we're exploring that potential through real projects, building intelligent systems that can reason, use tools, interact with existing software, and execute complex workflows.

We're looking for a Senior Agentic AI Developer who can turn these capabilities into reliable, production-ready solutions for our clients.

You'll design and build agentic systems, tackle complex technical challenges, and help shape how we develop AI-powered software. You'll work closely with software developers, AI specialists, designers, and clients to move ideas from experimentation to production.

This is a hands-on technical role for someone who enjoys solving unfamiliar problems, making thoughtful architectural decisions, and helping others grow.

\nYour key responsibilities

Design, develop, and deploy production-grade AI agents and agentic platforms & workflows for complex business challenges.
Architect systems that combine agentic harnesses, LLMs, tool calling, external APIs, enterprise data, and existing software applications.
Build agent orchestration workflows, including state management, context engineering, memory, and human-in-the-loop interactions.
Define and implement evaluation, testing, observability, and monitoring practices to ensure agent reliability, performance, cost, and security.
Make architectural decisions that balance autonomy, predictability, scalability, cost, and maintainability.
Collaborate with clients and multidisciplinary teams to identify opportunities, assess technical feasibility, and translate business needs into practical AI solutions.
Take ownership of technical delivery, from solution design and prototyping through deployment and continuous improvement.
Evaluate emerging models, frameworks, and development approaches, and help determine where they bring meaningful value.
Share knowledge, mentor colleagues, and contribute to the evolution of Osedea's Agentic AI development practices.

The ideal candidate

5+ years of professional software architecture and development experience
Hands-on experience building production-grade agentic systems.
Strong software development and architecture fundamentals, including system architecture, APIs, asynchronous processing, testing, and cloud deployment.
Capacity for end-to-end infrastructure design: storage, compute, identity & policy management
Demonstrated experience designing and delivering AI-powered applications beyond the proof-of-concept stage.
Solid understanding of agentic architectures, including tool use, orchestration, context management, and retrieval-augmented generation (RAG).
Experience integrating harnesses, agents or LLMs with external services, internal systems, and existing enterprise data and infrastructure.
Ability to evaluate AI system quality and reliability, troubleshoot complex behaviours, and make informed technical trade-offs.
Comfortable working with fast-evolving technologies, tools, standards and best practices.
Builder mindset with strong architectural credentials and proficiency with agentic engineering building blocks and how they fit together.
Strong collaboration and communication skills, including the ability to navigate ambiguity, explain technical decisions to clients and teammates, and take initiative.
Intermediate or conversational French (minimum).

We value proven technical skills, curiosity, and practical experience over a specific academic background or a fixed technology stack.You should be proficient with

Programming: Python and modern backend development practices.
LLM integration: APIs and SDKs for models such as OpenAI, Anthropic Claude, or Google Gemini.
Agent orchestration frameworks such as Microsoft Agent Framework, LangGraph/LangChain, OpenAI Agents SDK, or equivalent.
Harnesses & plugin design with platforms such as Codex, Claude code, Pi
ACP, MCP, Skill standards and other agentic engineering best practices
Context Engineering methods, including cache hit optimization
Retrieval methods: RAG, embeddings, vector search, graph search and lookup
Tool integration: Function calling, API integrations, and patterns for connecting agents to external tools.
Quality and reliability: Automated testing, agent evaluations, tracing, observability, and error handling.
Infrastructure: Cloud services (AWS, Azure, or Google Cloud), CI/CD, and production deployment practices.

It's a plus if you have experience with

Software factories, software development automation
Model Context Protocol (MCP) and standardized agent-tool integrations.
Multi-agent architectures and advanced orchestration patterns.
Agent security, permission management, prompt injection mitigation, and human approval mechanisms.
Frameworks and tools such as LangSmith, Langfuse, or equivalent evaluation platforms.
ETL pipelines for ingesting, transforming, and preparing enterprise data for AI applications.
TypeScript or JavaScript and modern frontend frameworks.
Enterprise software integrations and workflow automation.
AI-assisted software development and coding agents.
Technical consulting or delivering solutions for external clients.

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...

The process for this role if you are selected

20 min - Initial introductory call with a person from our technical team.

90 min - In-person interview at our office

Offer presentation

Only considered candidates will be contacted. Read our full hiring process here.

Apply About employer

More about this job

Responsibilities

Design, develop, and deploy production-grade AI agents and orchestration workflows to solve complex business challenges. Collaborate with multidisciplinary teams to architect scalable systems that integrate LLMs, enterprise data, and external tools.

Requirements

Requires 5+ years of professional software architecture experience with hands-on expertise in building production-grade agentic systems. Proficiency in Python, LLM integration, and cloud infrastructure is essential, along with strong communication skills.

Skills

Python
Agentic AI
LLM integration
LangGraph
LangChain
RAG
System architecture
Cloud deployment
API development
Orchestration frameworks
Vector search
Tool calling
Observability
CI/CD
Technical mentoring
Software architecture

Benefits

Competitive salary
Pension plan (RRSP)
Flexible hours
Work from anywhere up to 8 weeks
Wellness and productivity spending account
Parental program
Training

Visa sponsorship

Not detected in the job text

Keywords

Agentic AI
Python
LLM
LangGraph
LangChain
RAG
OpenAI
Anthropic Claude
Google Gemini
AWS
Azure
Google Cloud
CI/CD
System Architecture
API
Vector Search
Orchestration
Observability
Software Engineering
Technical Consulting
Enterprise Data
Tool Calling
Context Engineering
Model Context Protocol
Backend Development
Automation
Scalability
Reliability
Mentorship
Workflow Automation

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