Senior 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 a Senior AI Engineer to lead the design and deployment of intelligent scalable AI systems. In this role youll apply deep technical expertise across the AI/ML stack from foundation models to system orchestration to build realworld productionready applications. Youll shape experiences powered by LLMs retrieval systems and intelligent automation while contributing to a platform that prioritizes responsible AI. Youll work crossfunctionally with data scientists product managers and platform engineers to help steer the longterm direction of Benevitys AI capabilities.

This role offers growth potential into a Lead AI Architect position as we scale our AI capabilities across the Benevity Impact Platform.

What youll do:

AI System Design & Development

• Architect and implement intelligent AI workflows for complex task execution using LLMs and other AI techniques
• Design retrievalaugmented generation (RAG) systems and integrate them with broader platform capabilities
• Build automation frameworks that orchestrate tools APIs and structured data using AIdriven logic
• Develop TexttoSQL and semantic query interfaces for business and analytics users
• Implement traceable auditable AI pipelines that prioritize explainability and reliability
• Evaluate model/system performance and iterate using systematic benchmarking approaches

Platform Integration & Infrastructure

• Lead the development of scalable cloudnative AI services on AWS GCP or Azure
• Build and maintain CI/CD pipelines for continuously improving AI applications
• Optimize vector search and embedding workflows leveraging top vector DBs
• Apply best practices in LLMOps including model versioning telemetry and automated evaluations
• Contribute to the evolution of AI infrastructure including observability compliance and security

Collaboration & Mentorship

• Collaborate with Product Design and Operations teams to shape AIenabled features across the platform
• Serve as a mentor and technical guide for junior and midlevel engineers
• Promote responsible AI practices and ensure systems meet privacy compliance and ethical standards
• Research evaluate and implement stateoftheart techniques in LLMs and AI agents

What youll bring:

• A Bachelors or Masters in Computer Science Engineering or a related field
• 5 years of software engineering experience with 3 years focused on AI/ML systems design
• Proven ability to deliver endtoend AI solutions in production environments
• Deep proficiency in Python and modern frameworks (e.g. FastAPI Flask)
• Experience with retrieval systems embedding models and foundation model integration
• Familiarity with LLM platforms (e.g. OpenAI Cohere Bedrock) and finetuning workflows
• Understanding of agentbased systems and external tool orchestration
• Strong foundation in NLP including structured data interaction (e.g. TexttoSQL)
• Handson experience with LLMOps tools like LangSmith BentoML and Weights & Biases
• Fluency in cloudnative deployment (Docker Kubernetes serverless)

Technical Skills & Expertise:

• Programming: Expertlevel proficiency in Python including building scalable APIs and services; experience with TypeScript Go or Java is a plus
• LLM & AIFrameworks: Advanced experience with Hugging Face Transformers LangChain OpenAI and finetuning large language models; deep familiarity with frameworks like PyTorch and TensorFlow
• RAG & Embeddings: Proficient in building and optimizing RAG pipelines using vector databases (e.g. Pinecone Weaviate FAISS or Qdrant) and embedding models
• MLOps & LLMOps: Handson experience with MLflow Airflow and advanced tools for LLMOps such as BentoML LangSmith and Weights & Biases; strong understanding of evaluation model/version management and prompt tuning workflows
• Cloud & Infrastructure: Proven experience deploying AI systems in production on AWS GCP or Azure (AWS preferred); deep understanding of Kubernetes Docker Terraform and serverless deployment patterns
• System Integration: Skilled in connecting AI systems with realworld data pipelines and services including structured databases (SQL/NoSQL) eventbased systems (Kafka Pub/Sub) and service interfaces (REST gRPC)
• Monitoring & Observability: Skilled in using Prometheus Grafana Datadog or similar for monitoring LLM performance usage metrics and operational health
• Security & Compliance: Familiar with implementing access control data privacy and ethical AI guidelines in cloudbased AI systems

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 .