AI Software Engineer

Agility PR Solutions•Ottawa, ON

44d•Remote

About The Position

As an AI Engineer (Agentic Systems & LLM Applications), you will design, build, and scale production-grade agentic workflows and AI-driven applications. You will play a key role in shaping how intelligent agents operate across our platform—driving automation, insight generation, and decision intelligence for PR professionals. This role goes beyond implementation. You will contribute to system design, architecture decisions, and AI strategy, helping define how agents orchestrate complex workflows across data sources, APIs, and user interactions. You’ll work across both AI application layers (TypeScript, agent frameworks, orchestration) and Backend systems (Java, distributed data platforms such as Hadoop and Solr). 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.

Requirements

Practical experience with Agent frameworks (e.g., LangChain, LangGraph, or equivalent)
Practical experience with Prompt engineering and evaluation techniques
Practical experience Designing multi-step workflows or orchestration systems
Experience With SQL and data modeling
Experience With Linux environments
Experience With Git, and modern development workflows
Experience With Maven

Nice To Haves

Familiarity with distributed systems or big data platforms (Hadoop, Solr, Spark, etc.) is an asset
Experience building agentic or workflow-based AI systems
Understanding of system design and scalability tradeoffs
Ability to 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

Responsibilities

Design and implement end-to-end agentic workflows for real-world use cases
Build and deploy AI-driven agents capable of reasoning, tool use, and multi-step orchestration
Develop application logic using TypeScript and modern AI frameworks
Leverage frameworks such as LangChain and LangGraph (or similar) to build robust agent systems
Integrate with LLMs, and external APIs
Design and implement RESTful 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
Optimize performance, cost, and reliability of AI workloads
Contribute to architectural decisions and technical direction
Mentor junior developers and contribute to team knowledge sharing