• Develop and implement AI solutions using frameworks such as LangChain, LangGraph, and multi-agent systems. • Utilize prompt engineering and retrieval-augmented generation (RAG) to enhance AI capabilities. • Work with vector databases (ChromaDB, Pinecone) and implement context optimization and model routing. • Ensure LLM observability and adherence to AI governance standards. • Lead Agile teams through project lifecycles from conception to deployment, ensuring best practices in software development and architecture. • Manage CI/CD processes, including logging, tracing, and monitoring for infrastructure observability. • Conduct code reviews and enforce design patterns to maintain high-quality code standards. • Collaborate effectively with stakeholders to align on project goals and deliverables.

• Develop and implement AI solutions using frameworks such as LangChain, LangGraph, and multi-agent systems. • Utilize prompt engineering and retrieval-augmented generation (RAG) to enhance AI capabilities. • Work with vector databases (ChromaDB, Pinecone) and implement context optimization and model routing. • Ensure LLM observability and adherence to AI governance standards. • Lead Agile teams through project lifecycles from conception to deployment, ensuring best practices in software development and architecture. • Manage CI/CD processes, including logging, tracing, and monitoring for infrastructure observability. • Conduct code reviews and enforce design patterns to maintain high-quality code standards. • Collaborate effectively with stakeholders to align on project goals and deliverables.

• Design, develop, and implement AI models and algorithms to solve business problems. • Collaborate with cross-functional teams to understand requirements and translate them into AI solutions. • Collect, preprocess, and analyze large datasets for training and evaluation of AI models. • Optimize and fine-tune AI models for performance, accuracy, and scalability. • Stay updated with the latest advancements in AI and machine learning technologies. • Integrate AI solutions with existing systems and workflows. • Document AI development processes, models, and results. • Participate in code reviews and maintain best practices in AI development.

Sprout Social empowers businesses worldwide to harness the immense power and opportunity of social media in today’s digital-first world. Processing over one billion social messages daily, our platform serves up essential insights and actionable information to over 30,000 brands, informing strategic decisions that drive business growth and innovation, and fostering deeper, authentic connections to their end customers. Our full suite of social media management solutions includes comprehensive publishing and reporting functionality, customer care solutions, influencer marketing, connected workflows, business intelligence, and proprietary agentic AI. What you’ll do - Ensure we build, scale, ship, and monitor our AI and Agent platforms reliably, leveraging technologies such as Java, Python, MySQL, OpenSearch, Redis, AWS, and Kubernetes. - Integrate generative AI and agentic AI across Sprout’s existing ecosystem and infrastructure, helping define and build frameworks for platform AI enablement. - Build with AI and agentic AI in your own work, using tools such as Claude Code. - Influence and contribute to technical roadmaps by researching and prototyping emerging AI technologies, frameworks, and state of the art methods. - Partner with product managers, designers, applied AI/ML scientists, and other engineers to define requirements and complete feature work. - Uphold project quality and planning through meeting deadlines, breaking down work, and ensuring proper testing and monitoring. - Contribute to the team’s growth through mentorship, knowledge sharing, and providing feedback on PRs and technical designs. What you’ll bring We’re looking for an experienced and impact oriented engineer to join our team in building great software. If you enjoy working on cutting edge and rapidly changing technology, thinking through secure system design, and want to accelerate building generative AI and Agentic AI features, we’d love to talk with you! The minimum qualifications for this role include: - 4+ years of experience designing, developing, and supporting production-grade backend distributed systems or platform services at scale in languages such as Java or Python. - 3+ years of experience improving architectural patterns of large-scale software applications. - 1+ years of experience driving root-cause analysis and resolving complex architectural and performance bottlenecks across the entire stack. Preferred qualifications for this role include: - 1+ years of experience architecting high-throughput, cost-optimized, and scalable systems that power AI-enabled features. - 1+ years of experience implementing and leveraging LLM and agent orchestration frameworks (e.g., LangChain4j, LangGraph, CrewAI). Bonus: - Experience designing and implementing secure, extensible java MCP architectures. - Experience supporting server-driven UI, with the ability to contribute across both platform and web. How you’ll grow Within 1 month, you’ll plant your roots, including: - Completing Sprout’s New Hire training program alongside other new Sprout team members. - Acclimating to the team's current Mission, Goals, and Objectives along with future product roadmaps. - Deploying and making changes to our production systems. - Collaborating regularly with the development team to deliver value to our users. - Getting regular team feedback on your work through code reviews and pairing. - Proactively monitoring the health of our services in production to ensure our customers always have a world-class experience Within 3 months, you’ll start hitting your stride by: - Learning, updating, and improving Sprout’s existing AI platform services and frameworks. - Being the first line of defense against product outages and bugs while on support duty. - Working with your dev team to come up with the MVPs of new features. Within 6 months, you’ll be making a clear impact through: - Being “point person” on a project, including writing design documents, coordinating dependencies, and acting as domain owner. - Collaborating with product managers, applied AI/ML scientists, and web-engineers to identify opportunities for improving the scalability, reliability, latency, and cost of Sprout’s AI systems. - Staying up to date with generative AI, agentic AI, and MCP related technologies and leveraging that knowledge to improve and influence our technical roadmap. Within 12 months, you’ll make this role your own by: - Shipping, and making it easier to ship and support, AI Agents and generative AI solutions at Sprout. - Owning cross-organizational projects and mentoring other engineers to help them grow. - Surprising us! Use your unique ideas and abilities to change your team in beneficial ways. Of course, what is outlined above is the ideal timeline, but things may shift based on business needs and other projects and tasks could be added at the discretion of your manager. Our Benefits Program We’re proud to regularly be recognized for our team, product and culture. Our benefits program includes: - Insurance and benefit options that are built for both individuals and families - Progressive policies to support work/life balance, like our flexible paid time off and parental leave program - High-quality and well-maintained equipment—your computer will never prevent you from doing your best - Wellness initiatives to ensure both health and mental well-being of our team - Ongoing education and development opportunities via our Grow@Sprout program, employee-led diversity, equity and inclusion initiatives and mentorship programs for aspiring leaders - Growing corporate social responsibility program that is driven by the involvement and passion of our team members Individual base pay is based on various factors, including work location, relevant experience and skills, the responsibility of the role, and job duties/requirements. The base pay range for this role is $130,000 (min) - $195,000 (max) CAD annually. The listed ranges represent earning potential in this position. These ranges were determined by a market-based compensation approach; we used data from trusted third-party compensation sources to set equitable, consistent, and competitive ranges. We also evaluate compensation bi-annually, identify any changes in the market and make adjustments to our ranges and existing employee compensation as needed. Base pay is only one element of an employee's total compensation at Sprout. Every Sprout team member has an opportunity to receive restricted stock units (RSUs) under Sprout’s equity plan. We have outlined the various components to an employee’s full compensation package here to help you to understand our total rewards package. Candidates for this remote work opportunity must be based in either British Columbia or Ontario. If you are based in another location within Canada, we aren’t able to hire in your location at this time; however, if you’d like to stay in touch with us in case that changes in the future, please apply and we’ll save your application for possible future consideration. #LI-Remote Sprout Social Inc. and its subsidiaries process personal data submitted through your application to assess your qualifications for employment and to inform our hiring decision and, where applicable, for required governmental reporting. For more information, please review Sprout's Global Applicant Privacy Notice.