About Kindsight Kindsight builds technology that helps fundraisers make a difference. For decades, Kindsight has supported the education, healthcare, and nonprofit sectors with fundraising tools and the largest charitable giving database on the market. And as the giving sector evolves, so does Kindsight. As the leader in fundraising intelligence, Kindsight leverages real-time data and AI to help thousands of organizations around the world identify, manage, and engage with donors - at any scale. With purpose-built CRMs that corral all of that donor information and campaign tracking into one place, donor prospect research tools that offer proactive insights and real-time donor intel, and generative AI that creates personalized, meaningful content drafts at scale, Kindsight’s product suite is truly changing the game for donor fundraising.Position Summary We are seeking a highly skilled Engineering Manager, Agentic AI to design, develop, and deploy advanced agentic solutions providing user value in our Salesforce products. In this role, you will contribute technical expertise building and managing in-product features, AWS infrastructure, and provide strategic insight to drive innovation. You will collaborate closely with cross-functional teams, spanning product, engineering, data engineering and data science, to deliver AI and agentic powered solutions into scalable, real-world applications. You will lead and grow a high-performing team of AI engineers, data scientists, and backend developers while being a hands‑on technical leader.What You’ll DoDesign, implement, and optimize AI, LLM features and Agentic AIDesign and implement production‑grade multi‑agent and agentic workflows using frameworks such as LangGraph, CrewAI, AutoGen, or Salesforce AgentForceBuild and maintain robust MLOps practices including CI/CD for ML, model versioning, drift detection, cost monitoring, and real‑time observability for autonomous agents (AgentOps)Lead end‑to‑end development: leading the creation of in‑product features and the supporting backend required to deliver the featureTranslate business and product requirements into scalable AI solutionsMentor junior engineers and foster best practices in AI, LLM and AgenticPartner with product and engineering teams to integrate features into production systems with reliability, efficiency, and scalabilityStay current on emerging trends, frameworks, and research to drive innovation within the organizationCollaborate with stakeholders to ensure solutions are ethical, explainable, and compliant with industry standards such as bias testing, safety guardrails, and/or familiarity with LLM evaluation frameworksWhat We’re Looking For8+ years of experience in software engineering and 3+ years in engineering management3+ years experience in AI/LLM development, and Agentic AI with demonstrated experience of successfully launching and scaling agentic AI or generative AI products in recent yearsBachelor’s or Master’s in Computer Science, AI/ML, Data Science, or related fieldProficiency in Python and ML frameworks such as TensorFlow, PyTorch, Hugging Face, or Scikit‑learnExperience with cloud platforms (AWS, GCP, or Azure) and DevOps best practicesExcellent problem‑solving skills and ability to communicate complex technical concepts to both technical and non‑technical audiencesStrong hands‑on experience with Python, PyTorch or JAX, Hugging Face ecosystem, LangChain/LangGraph, AWS Bedrock + SageMaker, vector databases (Pinecone/Weaviate/Qdrant), RAG pipelines, and prompt optimization frameworks (DSPy, Guidance, Outlines)Experience integrating AI features into CRM platforms (ideally Salesforce)BonusFamiliarity with CRMs, ERPs, or launching products on Salesforce, specifically AgentForceFamiliarity with fundraising practices and metrics (e.g., donor lifetime value, conversion rates)Hands‑on experience building with or extending Salesforce AgentForce, Einstein, or Data CloudContributions to open‑source AI projects or research publicationsCompensation Range $175,000 - $225,000 CAD OTE annually, based on experience, market benchmarks and role complexity. We aim to offer fair, competitive pay that reflects your skills and the market.Equal Opportunity Statement This advertised position is for an existing vacancy at Kindsight. At Kindsight, we’re proud to be a place where everyone belongs and has an equal opportunity to contribute, thrive and grow. We hire based on skills, potential, and impact, and we believe our differences fuel innovation. We welcome all individuals and do not discriminate on the basis of gender identity and expression, race, ethnicity, disability, sexual orientation, colour, religion, creed, gender, national origin, age, marital status, pregnancy, sex, citizenship, education, languages spoken or veteran status. We’re building a workplace where everyone has the opportunity to do meaningful work and make a difference.Recruitment Process We leverage artificial intelligence (AI) tools to support certain aspects of our recruitment process. These tools may help with resume screening, drafting job descriptions, creating interview questions and occasionally identifying potential candidates. All hiring decisions are made by our people, not AI. Our intent is to use AI thoughtfully to streamline administrative tasks, improve the candidate experience and support fair, unbiased hiring practices consistent with industry standards.#J-18808-Ljbffr