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 micro-actions, we help most of the Fortune 100 brands build better cultures and use their power for good. We’re also one of the first B Corporations in Canada, meaning we’re 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!
We’re looking for a Senior AI Engineer to lead the design and deployment of intelligent, scalable AI systems. In this role, you'll apply deep technical expertise across the AI/ML stack — from foundation models to system orchestration — to build real-world, production-ready applications. You’ll shape experiences powered by LLMs, retrieval systems, and intelligent automation, while contributing to a platform that prioritizes responsible AI. You’ll work cross-functionally with data scientists, product managers, and platform engineers to help steer the long-term direction of Benevity’s 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 you’ll do:
AI System Design & Development
Architect and implement intelligent AI workflows for complex task execution using LLMs and other AI techniques
Design retrieval-augmented generation (RAG) systems and integrate them with broader platform capabilities
Build automation frameworks that orchestrate tools, APIs, and structured data using AI-driven logic
Develop Text-to-SQL 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, cloud-native 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 AI-enabled features across the platform
Serve as a mentor and technical guide for junior and mid-level engineers
Promote responsible AI practices and ensure systems meet privacy, compliance, and ethical standards
Research, evaluate, and implement state-of-the-art techniques in LLMs and AI agents
What you’ll bring:
A Bachelor's or Master’s 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 end-to-end 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 fine-tuning workflows
Understanding of agent-based systems and external tool orchestration
Strong foundation in NLP, including structured data interaction (e.g., Text-to-SQL)
Hands-on experience with LLMOps tools like LangSmith, BentoML, and Weights & Biases
Fluency in cloud-native deployment (Docker, Kubernetes, serverless)
Technical Skills & Expertise:
Programming: Expert-level proficiency in Python, including building scalable APIs and services; experience with TypeScript, Go, or Java is a plus
LLM & AI Frameworks: Advanced experience with Hugging Face Transformers, LangChain, OpenAI, and fine-tuning 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: Hands-on 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 real-world data pipelines and services, including structured databases (SQL/NoSQL), event-based 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 cloud-based AI systems
Discover your purpose at work
We’re not employees, we’re Benevity-ites. From all locations, backgrounds and walks of life, who deserve more …
Innovative work. Growth opportunities. Caring co-workers. 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 you’re valued for who you are and challenged to see who you can become …
It’s time to join Benevity. We’re 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 well-being. For those located near one of our offices, while there’s no set requirement for in-office time, we do value the moments when coming together in person helps us build connection and collaboration. Whether it’s 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 isn’t a buzzword
Diversity, equity, inclusion and belonging are part of Benevity’s DNA. You’ll see the impact of our massive investment in DEIB daily — from our well-supported 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 we're 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 accommodations@benevity.com.
