Applied AI Engineer

Axelon Services Corporation; Montreal; On-site; CAD 90,000 - 130,000; Full time

Job summary

Axelon Services Corporation is seeking an experienced AI software engineer for an on-site Montreal role to design and deliver enterprise AI solutions. You will collaborate with business and technology stakeholders to translate requirements into production-grade applications, including AI copilots, agents, and RAG workflows.

Responsibilities include building proofs of concept, integrating with enterprise systems, implementing retrieval-augmented generation, and ensuring security, governance, and

Qualifications

• 3+ years of software engineering experience with development responsibilities.

Responsibilities

• Collaborate with business and technology stakeholders to understand Generative AI use cases and translate requirements into practical implementations.

Skills

Strong communication

Team collaboration

Problem solving

Requirement translation

Prototyping

Tools

LangGraph

LangChain

OpenAI SDK

Claude Code SDK

Azure

AWS

CI/CD

Kubernetes

APIs

GitHub

Job description

• Work Mode: Onsite/in-office presence required 3x/week
• Duration: 12 months

Summary

• Location: Montreal
• Work Mode: Onsite/in-office presence required 3x/week
• Duration: 12 months

Responsibilities

• Collaborate with business and technology stakeholders to understand Generative AI use cases and translate requirements into practical implementations.
• Develop proofs of concept, prototypes, and reference applications that demonstrate business value and accelerate AI adoption.
• Build and enhance AI-powered applications, copilots, assistants, and agentic workflows using the company’s enterprise AI platforms and services.
• Implement Retrieval-Augmented Generation (RAG) solutions using enterprise knowledge repositories, vector databases, embeddings, semantic search, and retrieval techniques.
• Develop AI agents and orchestration workflows using frameworks such as LangGraph, LangChain, Semantic Kernel, Claude Code SDK, OpenAI SDK, or similar technologies.
• Implement prompt engineering techniques, structured outputs, tool calling, context management, and workflow orchestration patterns.
• Build APIs, connectors, and integrations between AI applications and enterprise systems, data platforms, and business workflows.
• Create reusable components, templates, implementation patterns, and developer examples that help application teams deliver AI solutions more efficiently.
• Develop automated tests and evaluation capabilities to measure solution quality, grounding, reliability, safety, and performance.
• Troubleshoot implementation issues and support application teams as prototypes and reference solutions transition toward production.
• Collaborate with firmwide AI platform teams to use foundational AI capabilities and follow enterprise engineering, security, governance, and Responsible AI standards.
• Stay current with emerging AI technologies and apply relevant tools and techniques to business use cases.

Requirements

• Minimum 3 years of software engineering experience with hands-on application development responsibilities.
• Minimum 1 year of practical experience developing Generative AI applications, AI assistants, AI agents, copilots, or intelligent automation solutions.
• Proficiency in Python and experience building APIs, integrations, and enterprise applications.
• Working knowledge of Large Language Models (LLMs), prompt engineering, embeddings, vector databases, semantic search, Retrieval-Augmented Generation (RAG), and common AI application patterns.
• Hands-on experience with one or more AI development frameworks, such as LangGraph, LangChain, Claude Code SDK, OpenAI SDK, or similar technologies.
• Familiarity with Model Context Protocol (MCP), AI gateways, agent-to-agent communication, or tool-calling frameworks.
• Experience implementing AI agents, orchestration workflows, tool integrations, or agentic applications.
• Experience building proofs of concept, prototypes, or reference implementations.
• Experience integrating applications with enterprise systems, data platforms, and APIs.
• Familiarity with automated testing and evaluation approaches for AI solution quality, safety, reliability, and performance.
• Awareness of Responsible AI principles, AI governance, security controls, and enterprise data protection requirements.
• Experience with GitHub, CI/CD pipelines, containers, and modern software engineering practices.
• Familiarity with Azure or AWS services used to host and operate applications and AI workloads.
• Ability to work with business stakeholders and application development teams to translate requirements into working software.
• Strong communication, collaboration, and problem-solving skills.

Preferred Skills

• Experience with Azure AI Foundry, AWS Bedrock, Anthropic Claude, OpenAI GPT models, SpaceX Grok Models, Gemini, or similar enterprise AI platforms.
• Experience building RAG solutions, knowledge assistants, or AI-powered search capabilities.
• Exposure to multi-agent systems and agent orchestration workflows.
• Experience integrating applications with ServiceNow, Jira, Confluence, SharePoint, Microsoft Graph, Databricks, Snowflake, or similar enterprise platforms.
• Familiarity with Kubernetes, containerized application deployment, and cloud-native architectures.
• Experience working in financial services or another regulated industry.

This role is for an existing vacancy.