Senior Software Developer - Workleap AI

Workleap builds practical employee experience software that makes work simpler, serving over 20,000 customers in more than 100 countries.
Canada
Machine Learning
Senior Software Engineer
Remote
5+ years of experience
AI · Enterprise SaaS

Description For Senior Software Developer - Workleap AI

Workleap is seeking a Senior Software Developer to join their AI team, focusing on implementing LLM-driven features and making Workleap AI a core pillar of their platform experience. The role involves developing innovative AI features, managing data pipelines, and scaling AI capabilities across their customer base. As part of the Product & Innovation team, you'll work in a dynamic environment that values experimentation and rapid iteration. The position offers a blend of technical challenges, from AI system development to cloud infrastructure management, requiring expertise in Python, cloud technologies, and modern AI frameworks. The ideal candidate will contribute to product innovation while maintaining high coding standards and mentoring team members. Workleap builds employee experience software used by over 20,000 customers globally, making this an opportunity to impact workplace efficiency at scale. The role offers a remote work environment and emphasizes both technical excellence and collaborative skills.

Last updated 2 hours ago

Responsibilities For Senior Software Developer - Workleap AI

  • Develop new features for our AI assistant and APIs
  • Ingest new third-party data sources to our knowledge base
  • Collaborate and design to solve tough technical problems
  • Maintain clean architecture and implementation
  • Perform code reviews, coach and mentor teammates
  • Provide support to early adopters

Requirements For Senior Software Developer - Workleap AI

Python
MongoDB
PostgreSQL
Kubernetes
  • Solid skills in backend software development with Python, FastAPI and uv
  • Solid skills in cloud infrastructure using Azure, Github actions, Terraform, Kubernetes, Docker, and Helm
  • Strong experience with databases such as MongoDB, PostgreSQL, and Neo4j
  • Experience in building AI systems using LLMs, vector embeddings, RAG pipelines, and agentic workflows
  • Comfortable writing unit, integration, and end-to-end tests
  • Apply SOLID, DRY, KISS, and YAGNI principles
  • Ability to break down complex technical concepts and communicate them simply
  • Familiar with product, software and design lifecycles
  • Autonomous, high agency, and great to work with
  • Experience with AI assistance in day-to-day work

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