AI Software Engineer
AI Summary
About the role:As anAI Engineer (Agentic Systems & LLM Applications), you will design, build, and scaleproduction-grade agentic workflows and AI-driven applications.
About this role
About the role:
As anAI Engineer (Agentic Systems & LLM Applications), you will design, build, and scaleproduction-grade agentic workflows and AI-driven applications. You will play a key role in shaping how intelligent agentsoperateacross our platform—driving automation, insight generation, and decision intelligence for PR professionals.
This role goes beyond implementation. You will contribute tosystem design, architecture decisions, and AI strategy, helping define how agents orchestrate complex workflows across data sources, APIs, and user interactions.
You’llwork across both:
- AI application layers(TypeScript, agent frameworks, orchestration)
- Backend systems(Java, distributed data platforms such as Hadoop andSolr)
Agility PR Solutions is building next-generation media intelligence capabilities powered by AI. Your work will directly influence how customers extract insights, automate workflows, and make decisions from large-scale media data.
What you’ll do:
- Designand implementend-to-end agentic workflowsfor real-world use cases
- Build and deployAI-driven agentscapable of reasoning, tool use, and multi-step orchestration
- Develop application logic usingTypeScriptand modern AI frameworks
- Leverage frameworks such asLangChainandLangGraph(or similar) to build robust agent systems
- Integrate withLLMs, and external APIs
- Design and implementRESTful services (Java)to support AI-driven capabilities
- Define and enforce best practices for:
- Prompt design and evaluation
- Agent reliability and guardrails
- Observability and debugging of AI systems
- Collaborate with product and design to translate ambiguous requirements into scalable solutions
- Optimizeperformance, cost, and reliability of AI workloads
- Contribute to architectural decisions and technical direction
- Mentor junior developers and contribute to team knowledge sharing
What you bring:
You should have practical experience with:
- Agent frameworks (e.g.,LangChain,LangGraph, or equivalent)
- Prompt engineering and evaluation techniques
- Designing multi-step workflows or orchestration systems
ExperienceWith
- SQL and data modeling
- Linux environments
- Git,and modern development workflows
- Maven
- Familiarity withdistributed systems or big data platforms(Hadoop,Solr, Spark, etc.)is an asset
Strongly preferred:
- Experience buildingagentic or workflow-based AI systems
- Understanding ofsystem design and scalability tradeoffs
- Abilityto work independently and take ownership of projects
- Strong problem-solving and system design thinking
- Effective communication across technical and non-technical stakeholders
- Passion for AI, automation, and emerging technologies
Why you'll love it here:
- Fully remote work environment
- Collaborative culture – and key tools enabling it
- Competitive compensation package
- Health, Dental & Vision benefits
- RRSP matching
- Life Insurance
- Employee Assistance Program (EAP)
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