Senior Software Engineer [AI Solutioning]

Here’s a summary of the role: Ready to build real-world AI solutions that actually make an impact? You’ll take cutting-edge AI and GenAI concepts—like copilots, agents, and intelligent workflows—and turn them into scalable, production-ready systems used across sales, finance, customer success, and more. If you enjoy hands-on backend engineering, working with APIs, cloud platforms, and LLMs, and transforming ideas into high-performing AI-driven products, this role puts you right at the center of innovation. Here’s a breakdown of what you’ll do (not all of it, just the important stuff): Build and scale backend services, APIs, and integrations that embed AI/GenAI into enterprise systems (CRM, ERP, BI) Develop LLM-powered solutions such as RAG pipelines, copilots, agents, and automation workflows Take AI solutions from concept to production—design, build, test, deploy, and monitor Collaborate with architects and business stakeholders to turn requirements into practical AI implementations Create and manage data pipelines to enable reliable, high-quality AI workflows Ensure solutions are secure, scalable, observable, and aligned with best practices These are the essentials you’ll need to get an interview: 5+ years of experience in software or solutions engineering with production systems Strong programming skills in Python, Java, C#, or Node.js Hands-on experience with APIs, integrations (REST/webhooks), and backend development Practical experience working with LLMs/GenAI tools (e.g., OpenAI, LangChain, or similar) Experience with cloud platforms (preferably AWS), CI/CD, and containerization Solid understanding of AI/GenAI concepts like prompt engineering, RAG, or agents Ability to translate technical solutions into business impact and collaborate across teams It would be great if you had these too, but we’ll support you if you don’t: Experience integrating AI into CRM, ERP, or analytics platforms Familiarity with MLOps/LLMOps concepts such as model lifecycle and monitoring Exposure to machine learning or data analytics tools (e.g., Scikit-learn, dashboards) Experience working in global or distributed teams Knowledge of AI governance, security, and responsible AI practices About Us Diligent is the AI leader in governance, risk and compliance (GRC) SaaS solutions, helping more than 1 million users and 700,000 board members to clarify risk and elevate governance. The Diligent One Platform gives practitioners, the C-Suite and the board a consolidated view of their entire GRC practice so they can more effectively manage risk, build greater resilience and make better decisions, faster. At Diligent, we're building the future with people who think boldly and move fast. Whether you're designing systems that leverage large language models or part of a team reimaging workflows with AI, you'll help us unlock entirely new ways of working and thinking. Curiosity is in our DNA, we look for individuals willing to ask the big questions and experiment fearlessly - those who embrace change not as a challenge, but as an opportunity. The future belongs to those who keep learning, and we are building it together. At Diligent, you’re not just building the future - you’re an agent of positive change, joining a global community on a mission to make an impact. Learn more at diligent.com or follow us on LinkedIn and Facebook What Diligent Offers You Creativity is ingrained in our culture. We are innovative collaborators by nature. We thrive in exploring how things can be differently both in our internal processes and to help our clients We care about our people. Diligent offers a flexible work environment, global days of service, comprehensive health benefits, meeting free days, generous time off policy and wellness programs to name a few We have teams all over the world . We may be headquartered in New York City, but we have office hubs in Washington D.C., Vancouver, London, Galway, Budapest, Munich, Bengaluru, Singapore, and Sydney. Diversity is important