Senior Full-Stack Developer

AssetWorks Inc • Calgary, AB

7d

About The Position

We are looking for a Senior Full-Stack Developer to lead the technical realization of our generative AI roadmap. In this role, you won’t just be using AI to write code; you will be building the AI systems that power our enterprise. You will design and deploy intelligent agents, orchestrate complex workflows, and fine-tune models to solve real-world asset management challenges. Our philosophy is centered on human-augmentation. You will build tools that enhance expert judgment through sophisticated Agentic workflows, ensuring our AI implementations are scalable, secure, and execution-focused.

Requirements

• 1+ years of experience building AI-powered applications, with a deep understanding of LLM capabilities, limitations, and prompt engineering.
• Proven experience building AI Agents (e.g., using orchestration frameworks, LangChain, or flow-based visual programming tools).
• Strong proficiency in SQL and Oracle (or other relational databases).
• Hands-on experience preparing datasets and executing the fine-tuning of open-source or proprietary models.
• Strong background in C#/.NET, ensuring AI features are built on a stable, enterprise-grade backend.

Nice To Haves

• Azure cloud experience (App Services, Functions, SQL Database, Vector Databases)
• Experience with microservices architecture
• Knowledge of AI security, specifically mitigating prompt injection and ensuring data privacy in RAG.
• Experience mentoring or leading other developers

Responsibilities

• Design and implement multi-agent systems and autonomous workflows using flow-based orchestration and chain-of-thought reasoning.
• Manage enterprise data and high-dimensional vector embeddings within PostgreSQL, ensuring efficient retrieval for RAG (Retrieval-Augmented Generation) pipelines.
• Lead the integration of LLMs via Kiro, focusing on prompt engineering, model parameter tuning, and performance monitoring.
• Identify opportunities where fine-tuning specific models can improve domain-specific performance and lead the data preparation and execution process.
• Build and manage AI middleware that connects LLMs to SQL, Oracle, enterprise data sources, and third-party APIs.
• Create playbooks for AI development and mentor the team on LLM best practices, ensuring AI-generated outputs meet rigorous accuracy standards.

Benefits

• competitive compensation
• a comprehensive benefits package

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed