AI Systems Engineer

Meet Benevity

Benevity is the way the world does good providing companies (and their employees) with technology to take social action on the issues they care about. Through giving volunteering grantmaking employee resource groups and microactions we help most of the Fortune 100 brands build better cultures and use their power for good. Were also one of the first B Corporations in Canada meaning were as committed to purpose as we are to profits. We have people working all over the world including Canada Spain Switzerland the United Kingdom the United States and more!

Were looking for an AI Systems Engineer to help build and optimize realworld applications powered by large language models and intelligent automation. In this role youll contribute to the design and deployment of AI features that integrate retrieval systems agents and foundation models into productiongrade systems. Youll work crossfunctionally with data scientists product managers and platform engineers to deploy optimize and maintain reliable and scalable ML/AI services in a production environmentensuring they perform well and deliver value to all our clients.

What youll do:

AI System Development & Implementation

• Develop and maintain AIpowered workflows using LLMs embeddings and automation tools
• Contribute to building RAG (retrievalaugmented generation) systems integrated with platform features
• Build and improve natural language interfaces such as semantic search and texttoSQL queries
• Assist with prompt engineering evaluation and finetuning of LLMs for production use

Collaborate in the design of scalable modular AI components that can be reused across products

Platform Engineering & Integration

• Deploy AI services in cloudnative environments (AWS GCP or Azure) using containerized pipelines
• Build and monitor embedding and vector database workflows (e.g. FAISS Pinecone Weaviate)
• Maintain CI/CD workflows and support versioning testing and safe deployment of AI systems
• Contribute to LLMOps efforts around logging observability and responsible AI practices

Work with data teams to ensure clean structured inputs for model training and inference

Collaboration & Technical Growth

• Work crossfunctionally with product design and data science to bring AI features to life
• Participate in architectural discussions and advocate for scalable maintainable solutions
• Stay up to date with advancements in the LLM and MLOps ecosystem and explore new tools and frameworks
• Contribute to documentation and internal tooling that improve team efficiency and transparency

What youll bring:

• A Bachelors degree in Computer Science Engineering or related field (or equivalent experience)
• 3 years of software engineering experience with at least 12 years working with ML/AI systems
• Solid Python development skills including building APIs or backend services with FastAPI or Flask
• Experience integrating with LLMs (e.g. OpenAI Cohere) and using embedding models
• Familiarity with retrieval systems and vector databases (Pinecone FAISS Qdrant etc.)
• Handson experience with cloud platforms and containerized deployment (e.g. Docker Kubernetes)
• Understanding of prompt engineering semantic search and NLP tasks like text classification or Q&A
• Interest in responsible AI practices and building traceable explainable ML pipelines
• Exposure to tools such as LangChain MLflow LangSmith or Weights & Biases is a plus

Technical Skills & Expertise:

• Programming: Proficient in Python; experience with backend development and REST APIs
• AI Tools: Familiar with Hugging Face OpenAI APIs LangChain and RAG pipelines
• Infrastructure: Comfortable with cloud deployment (AWS preferred) Docker Kubernetes
• Vector Search: Experience with embeddings and vector databases like FAISS or Pinecone
• MLOps/LLMOps: Exposure to tools like MLflow BentoML or LangSmith
• Data Systems: Familiar with SQL and NoSQL databases data pipelines and structured data integration
• Monitoring: Experience with observability tools like Datadog Prometheus or OpenTelemetry
• Development Practices: Git CI/CD agile teamwork and documentation habits

Discover your purpose at work

Were not employees were Benevityites. From all locations backgrounds and walks of life who deserve more

Innovative work. Growth opportunities. Caring coworkers. And a chance to do work that fills us with a sense of purpose.

If the idea of working on tech that helps people do good in the world lights you up ... If you want a career where youre valued for who you are and challenged to see who you can become

Its time to join Benevity. Were so excited to meet you.

Where we work

At Benevity we embrace a flexible hybrid approach to where we work that empowers our people in a way that supports great work strong relationships and personal wellbeing. For those located near one of our offices while theres no set requirement for inoffice time we do value the moments when coming together in person helps us build connection and collaboration. Whether its for onboarding project work or a chance to align and bond as a team we trust our people to make thoughtful decisions about when showing up in person matters most.

Join a company where DEIB isnt a buzzword

Diversity equity inclusion and belonging are part of Benevitys DNA. Youll see the impact of our massive investment in DEIB daily from our wellsupported employee resources groups to the exceptional diversity on our leadership and tech teams.

We know that diverse backgrounds experiences skills and passions are what move our business and our people forward so were committed to creating a culture of belonging with equal opportunities for everyone to shine.

That starts with a fair and accessible hiring process. If you want to feel seen heard and celebrated you belong at Benevity.

Candidates with disabilities who may require accommodations throughout the hiring or assessment process are encouraged to reach out to .