Hybrid AI Product Engineer

at Aspire Software

• Job title: AI Product Engineer
• Job type: Full Time
• Experience level: Mid level, Senior
• Salary: Not specified
• Degree requirement: Bachelor's Degree
• Tech skills: Cloud, Open Source, .NET
• Location requirements: Hybrid, Montreal, Canada

About the role

• AI Product Engineer at Anju Software responsible for defining and developing AI capabilities. Collaborating closely with management to align product direction with business strategy and client needs.

Responsibilities

• Define and drive the roadmap for the new AI product — identify the highest-value opportunities within our VMS platform for life sciences and translate them into a clear, prioritized plan
• Work directly with the General Manager and key stakeholders to align AI product direction with overall company strategy and customer needs
• Lead customer and domain-expert discovery phases to identify real workflow pain points that AI can solve
• Make pragmatic decisions between building in-house and integrating existing solutions, balancing speed to market with long-term product quality
• Design and develop end-to-end AI features — from backend architecture and business logic to user interfaces
• Integrate LLMs and AI services (Claude, GPT-4, open-source models) into the platform's core workflows
• Build RAG pipelines, agentic workflows, and intelligent automations on life-sciences datasets, including regulatory documents, SOWs, compliance policies, and workforce-related data
• Establish engineering foundations that meet regulatory requirements — code standards, AI evaluation frameworks, and deployment practices — that future team members can rely on
• Ensure AI features meet the auditability, traceability, and accuracy standards expected in regulated life-sciences environments

Requirements

• 3 to 5 years of software engineering experience with a strong foundation in backend or full-stack development
• Hands-on experience designing and shipping AI features or LLM-based solutions to production
• Demonstrated product mindset — you have owned a feature or product area, not just executed tickets
• Experience with AI tools such as LangChain, LlamaIndex, OpenAI SDK, Anthropic SDK, or equivalent
• Experience with .NET and C#
• Good understanding of APIs, cloud infrastructure, and modern software architectures
• Excellent written and verbal communication skills — ability to present product ideas and technical trade-offs to non-engineers
• Entrepreneurial, self-driven mindset; comfortable with ambiguity and motivated by building projects from scratch
• Additional assets:
• Experience in life sciences, digital health, or other regulated software environments
• Knowledge of vertical market software, business management platforms, or industry-specific SaaS
• Understanding of GxP principles, 21 CFR Part 11, or compliance requirements applicable to pharmaceutical and biotech industries
• Experience with vector databases, embedding pipelines, or semantic search
• Experience in prompt evaluation, QA for AI systems, or responsible AI practices
• Experience in an early-stage or high-growth environment where you need to build systems from the ground up