AI Software Engineer
Company Overview
Agility PR Solutions is a global leader in media intelligence and PR technology. Founded in 2003, we help communications teams around the world drive awareness, make smarter decisions, and protect their reputation when it matters most. Our enterprise-grade platform unifies media relations, media monitoring, social listening, AI visibility, and media intelligence into a single seamless system—turning overwhelming streams of coverage and conversation into decision-ready intelligence. Recognized for ease of use, results, and customer support, Agility is one of the most trusted names in media intelligence. Our mission is to empower the voices that shape the world's narratives, and we're looking for people who want to help us do it.
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:
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AI application layers (TypeScript, agent frameworks, orchestration)
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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'll 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:
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Experience building agentic or workflow-based AI systems
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Understanding of system design and scalability tradeoffs
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Ability to work independently and take ownership of projects
- Strong problem-solving and system design thinking
- Effective communication across technical and non-technical stakeholders
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Passion for AI, automation, and emerging technolo gies
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)
- Career Development & Progression opportunities
- Paid Vacation, Personal Days and Sick days
- Flex Fridays in Summer, Week off between Christmas and New Years'
- No Internal Meeti