Lead AI Developer (AI-Powered Applications)

Location: Waterloo, Ontario, Canada; office-based.

Company

hirify.global is a corporation focused on information management and digital transformation, developing AI-powered enterprise content solutions.

What you will do

• Provide technical leadership, coaching, and mentorship to a team of developers.
• Architect and oversee AI-driven applications, scalable backend services, intelligent agents, and orchestration frameworks using LangChain and LangGraph.
• Lead technical initiatives from concept through deployment and guide architecture reviews, prioritization, decision-making, and problem-solving.
• Define and evolve the Content Aviator platform for low-code and custom agentic AI solutions across hirify.global products.
• Optimize RAG pipelines and integrate AI capabilities with enterprise data sources and production systems.
• Collaborate with product managers, architects, customers, data scientists, engineers, and other stakeholders to deliver business outcomes.

Requirements

• 7+ years of professional software development experience, including at least 2 years in a technical leadership role.
• Strong proficiency in Node.js, JavaScript/TypeScript, and Python.
• Hands-on experience with LangChain and LangGraph.
• Deep understanding of LLMs, prompt engineering, agentic workflows, and RAG techniques.
• Experience integrating vector databases such as pgvector, Pinecone, Weaviate, or FAISS with LLM-based applications.
• Proven ability to lead complex technical initiatives from conception through delivery and mentor developers.
• Experience collaborating with product managers, architects, stakeholders, and cross-functional teams.
• Strong communication, problem-solving, and relationship-building skills.
• Familiarity with AWS, GCP, or Azure and containerization technologies such as Docker and Kubernetes; ability to balance hands-on development with technical leadership.

Nice to have

• Track record of shipping AI-powered products to market.
• Experience designing and implementing production-grade RAG pipelines with LangGraph, from retrieval strategy through stateful graph orchestration.
• Experience with Google Gemini, OpenAI, or open-source LLMs such as Llama and Mistral.
• Experience building or deploying agentic AI systems in enterprise environments.
• Background in NLP, knowledge graphs, semantic search, or AI-powered information retrieval.
• Contributions to open-source AI/LLM projects.
• Familiarity with observability, evaluation, and monitoring tools for AI systems.

Culture & Benefits

• Work on AI, agentic systems, LLM technologies, and a strategic enterprise AI platform.
• Collaborate with an experienced team focused on innovation, trust, accountability, and continuous learning.
• Opportunities for career growth and leadership development.
• Benefits package supporting physical, emotional, and financial wellbeing, with vacation entitlement and paid time off.
• Variable and commission compensation opportunities may be available for eligible roles.
• Recruitment includes AI-assisted resume screening, candidate matching, interview scheduling, and communications, with hiring decisions made by qualified professionals.