Senior Agentic AI Developer
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Before you apply
LocationMontreal (EN)
Work modehybrid
Typefull-time
SenioritySenior
Experience5+ yrs
DepartmentArtificial Intelligence
Company size51–200 people
PostedOct 29, 2026 · 1w ago
Verified live3d ago
At a glanceSummarised by Seekless from the posting.
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)
Proficiency with Python and modern backend development practices
Proficiency with LLM integration: APIs and SDKs for models such as OpenAI, Anthropic Claude, or Google Gemini
Proficiency with agent orchestration frameworks such as Microsoft Agent Framework, LangGraph/LangChain, OpenAI Agents SDK, or equivalent
Proficiency with harnesses & plugin design with platforms such as Codex, Claude code, Pi
Proficiency with ACP, MCP, Skill standards and other agentic engineering best practices
Proficiency with context engineering methods, including cache hit optimization
Proficiency with retrieval methods: RAG, embeddings, vector search, graph search and lookup
Proficiency with tool integration: function calling, API integrations, and patterns for connecting agents to external tools
Proficiency with quality and reliability: automated testing, agent evaluations, tracing, observability, and error handling
Proficiency with infrastructure: cloud services (AWS, Azure, or Google Cloud), CI/CD, and production deployment practices
Experience with software factories, software development automation
Experience with Model Context Protocol (MCP) and standardized agent-tool integrations
Experience with multi-agent architectures and advanced orchestration patterns
Experience with agent security, permission management, prompt injection mitigation, and human approval mechanisms
Experience with frameworks and tools such as LangSmith, Langfuse, or equivalent evaluation platforms
Experience with ETL pipelines for ingesting, transforming, and preparing enterprise data for AI applications
Experience with TypeScript or JavaScript and modern frontend frameworks
Experience with enterprise software integrations and workflow automation
Experience with AI-assisted software development and coding agents
Experience with technical consulting or delivering solutions for external clients
Skills
Python
OpenAI
Anthropic Claude
Google Gemini
Microsoft Agent Framework
LangGraph
LangChain
OpenAI Agents SDK
Codex
MCP
RAG
Embeddings
Vector Search
Graph Search
AWS
Azure
Google Cloud
CI/CD
LangSmith
Langfuse
ETL
TypeScript
JavaScript
Benefits
Pension plan
Flexible hours
Remote work
Paid sabbatical
Wellness spending account
Parental leave
Training
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
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.
Your 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…
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.