Technical Lead, Applied AI (AI Engineering)

TL;DR

Technical Lead, Applied AI (AI Engineering): Driving the technical strategy, execution, and delivery of complex AI solutions for enterprise customers with an accent on deploying hirify.global products and developing high-impact, scalable AI use cases. Focus on bridging the gap between cutting-edge AI research and real-world enterprise applications, ensuring solutions are robust, scalable, and aligned with customer needs and Mistral’s technological vision.

Location: On-site in Montreal

Company

hirify.global democratizes AI through high-performance, optimized, open-source and cutting-edge models, products, and solutions designed to meet enterprise needs.

What you will do

• Deliver critical lines of code for complex projects, staying deeply involved in coding, reviewing, and optimizing AI solutions.
• Lead technical teams of Applied AI Engineers, providing mentorship and technical guidance for deploying state-of-the-art GenAI applications.
• Lead technical discussions during pre-sales, translating customer requirements into actionable solutions and communicating Mistral’s technological advantages.
• Design and oversee the implementation of complex AI systems, including fine-tuning, RAG, agentic workflows, and custom LLM applications.
• Drive innovation by identifying emerging trends in AI, evaluating new tools and methodologies, and championing best practices for fine-tuning, inference, and deployment.
• Work closely with product managers, researchers, and engineers to ensure seamless integration of customer feedback into Mistral’s product development cycle.

Requirements

• You are fluent in French and English.
• You hold a PhD or Master’s degree in AI, Machine Learning, Computer Science, or a related field.
• You have 7/8+ years of experience in AI/ML, with at least 2+ years in a technical leadership role focused on AI products or enterprise solutions.
• You have a proven track record of leading teams to deliver complex AI projects, from prototyping to production, in industries such as tech, finance, healthcare, or industrial automation.
• You possess deep expertise in fine-tuning LLMs, advanced RAG, agentic systems, and deploying NLP applications at scale.
• You are proficient in Python, PyTorch, and modern AI frameworks (e.g., LangChain, Hugging Face) and have strong software engineering skills, including API design, backend/full-stack development, and system architecture.

Nice to have

• Contributed to open-source projects, particularly in the LLM or AI space.
• Experience in customer-facing roles with a focus on enterprise AI adoption.
• A track record of driving technical strategy and influencing product direction based on customer needs and market opportunities.

Culture & Benefits

• Care about people and outputs.
• Bureaucracy is where urgency goes to vanish; talk to whoever you need to talk to.
• Feedback is direct, timely, and given because we care.
• No politics, low ego, high standards.
• Embrace an unstructured environment and find joy in it.