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Aptonet

Java/AI Software Engineer

Vancouver, BC, Canada

Full-time

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Job details

Job type: Full-time
Apply by: Nov 8, 2026
Posting language: English
Posted: Oct 9, 2026

Original job description

About the job

We are seeking an Intermediate Software Engineer to join our team in Vancouver, BC, and help build innovative generative AI capabilities across Planview products. In this role, you will collaborate with senior engineers, Product teams, Data Science teams, and other development groups to design, implement, test, and deploy features for an AI-powered platform that helps users identify management concerns and recommend actionable solutions.

Responsibilities

Design, develop, test, and deploy features for a generative AI platform
Build AI-driven capabilities that enhance Planview products and customer experiences
Collaborate with Product, Data Science, and Engineering teams to deliver AI-based use cases
Develop scalable services using modern software engineering practices and technologies
Integrate and leverage organizational data sources, including OKRs, product portfolios, and engineering work tickets
Work closely with stakeholders across multiple development teams to deliver high-impact solutions
Support the development and deployment of agentic AI platform capabilities
Participate in code reviews, testing, debugging, and continuous improvement initiatives
Contribute to a DevOps culture where teams build, deploy, and support their solutions
Apply modern software design principles and agile development methodologies throughout the development lifecycle

Required Skills

4+ years of professional software development experience
3+ years of experience developing applications with Java and Spring framework
Strong understanding of Java design patterns, best practices, and software engineering principles.
Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform (GCP), React, Large Language Models (LLMs), such as Claude Sonnet, and DevOps environment
Experience with agentic conversational AI using LangGraph or LangChain
Strong problem-solving and collaboration skills
Bachelor's degree in Computer Science, Engineering, or a related field

Preferred Skills

Hands-on experience applying AI technologies to real-world software development challenges.
Experience building AI-powered products or features
Knowledge of data strategy and data-driven product development
Experience supporting agentic AI platforms or generative AI applications
Familiarity with integrating AI services into enterprise software products
Experience collaborating across Product, Data Science, and Engineering organizations

Ideal Candidate

Built a reusable AI platform consumed by multiple SaaS products
Developed agentic conversational AI using LangGraph or LangChain
Implemented RAG architecture using vector search and enterprise knowledge sources
Built orchestration services enabling LLM tool calling and workflow automation
Developed Java Spring Boot microservices supporting AI applications
Integrated AI capabilities into existing enterprise products
Designed context management and retrieval pipelines for LLM applications
Built evaluation frameworks and guardrails for production AI systems

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More about this job

Responsibilities

Design, develop, test, and deploy scalable generative AI platform features and services that enhance Planview products, using organizational data to identify management concerns and recommend solutions. Collaborate with Product, Data Science, and Engineering teams while supporting agentic AI capabilities, code quality, testing, and DevOps practices.

Requirements

Requires at least four years of professional software development experience, including at least three years developing Java applications with Spring, plus a bachelor's degree in Computer Science, Engineering, or a related field. Candidates should understand Java design principles and have experience with cloud platforms, React, LLMs, DevOps, and agentic conversational AI using LangGraph or LangChain.

Skills

Java
Spring Framework
Java Design Patterns
Cloud Platforms
React
Large Language Models
Agentic Conversational AI
LangGraph
LangChain
Generative AI
DevOps
Microservices
Retrieval-Augmented Generation
Vector Search
Problem-Solving
Collaboration

Visa sponsorship

Not detected in the job text

Keywords

Java
Spring Framework
Spring Boot
React
Generative AI
Agentic AI
Large Language Models
Claude Sonnet
LangGraph
LangChain
AWS
Azure
Google Cloud Platform
DevOps
Microservices
Retrieval-Augmented Generation
Vector Search
LLM Tool Calling
Workflow Automation
Context Management
Retrieval Pipelines
AI Evaluation Frameworks
Guardrails
Enterprise Software
OKRs
Product Portfolios
Engineering Work Tickets
Agile Development
Software Design Patterns

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