• Design, prototype, and deploy AI agents, LLM-powered workflows, and automations that measurably accelerate internal work across operations, finance, support, compliance, sales, and engineering • Build production-grade integrations between AI systems and ClassWallet’s stack — CRM, support, finance, ops, and engineering tools • Develop reusable components, prompt libraries, evaluation frameworks, and internal platforms so AI adoption scales across the company • Contribute AI capabilities to customer-facing product features in partnership with Product & Engineering • Sit alongside business teams to understand their workflows, identify high-leverage AI opportunities, and ship solutions to those teams directly • Pair with non-technical employees to build, refine, and operationalize their own AI workflows • Translate ambiguous business problems into concrete, shippable systems • Make pragmatic choices across the AI stack: LLMs, RAG, agent frameworks, RPA, low-code automation, and traditional software engineering — picking the right tool for the job • Establish standards for AI development at ClassWallet: code quality, evaluation, monitoring, prompt management, and cost control • Stay ahead of a fast-moving field and bring relevant innovations into the company before they’re obvious • Partner with the Sr. Director, AI & Automation and Legal/Compliance on responsible AI practices, data privacy, and regulatory alignment appropriate to fintech and public-sector data • Build evaluation and observability into AI systems so we know they are working, improving, and behaving as intended

• Build and deliver AI solutions: Take ownership of developing high-performance AI features to help users detect, triage, and resolve incidents using observability data and tools. • Rapid experimentation and iteration: Implement a highly iterative process where you quickly prototype, test, and validate with real users, including shipping and evolving LLM- or agent-powered workflows for incident lifecycle management and automated analysis tasks. • Collaborate cross-functionally: Work with data analysts, product managers, and designers to shape AI-driven product features, including integration of agentic components with internal tools, alerting systems, runbooks, and developer workflows. • Utilize AI tools effectively: Use AI and automation tools to enhance both product functionality and your own development workflows. • Effective communication: You’ll be working in a highly dynamic and collaborative environment, so we need someone who can communicate effectively and contribute across teams. • Ownership and impact: Take full ownership of the AI solutions you develop, ensuring they are not only innovative but also scalable, maintainable, and aligned with real user workflows.

• Build and deliver AI solutions: Take ownership of developing high-performance AI features to help users detect, triage, and resolve incidents using observability data and tools. • Rapid experimentation and iteration: Implement a highly iterative process where you quickly prototype, test, and validate with real users, including shipping and evolving LLM- or agent-powered workflows for incident lifecycle management and automated analysis tasks. • Collaborate cross-functionally: Work with data analysts, product managers, and designers to shape AI-driven product features, including integration of agentic components with internal tools, alerting systems, runbooks, and developer workflows. • Utilize AI tools effectively: Use AI and automation tools to enhance both product functionality and your own development workflows. • Effective communication: You’ll be working in a highly dynamic and collaborative environment, so we need someone who can communicate effectively and contribute across teams. • Ownership and impact: Take full ownership of the AI solutions you develop, ensuring they are not only innovative but also scalable, maintainable, and aligned with real user workflows.

Role Description Jitterbit is seeking Senior backend engineers to join our AI team. Jitterbit is an iPaaS (Integration as a Service), LCAP, and API Management platform which has been recognized in Gartner MQ for seven straight years. Our customers utilize our Low-code iPaaS, APIM, LCAP, and B2B platform to address mission-critical business automation challenges. What is our challenge? To make it easy to automate our customers’ systems. In order to do this, we need to build and create a SaaS offering that is reliable, stable, and scalable for our customers. Do you have the design, architecting, and code-writing capabilities to take on this challenge? And can succeed in a big way? Join our team and play a crucial role in building, designing, and architecting AI capabilities on our cutting-edge platform. We seek a talented Senior AI Engineer to infuse our AI vision into our platform. You'll work with various technologies, including: - LLM - RAG - Azure AI - AWS Bedrock - OpenAI - LangChain - LlamaIndex - Python - Java - Nginx - Tomcat - Kafka - Elasticsearch - InfluxDB - Redis - MySQL - Linux - C++ - Apache - Docker - Kubernetes Your mission will be to create robust, scalable AI systems that run seamlessly 24/7/365. This is a unique opportunity to innovate with the latest technologies and contribute to our market-leading position. Qualifications - 10+ years of experience in building large-scale cloud-based distributed applications - Strong experience in building multi-tenant SaaS applications - Expertise with AI technologies, including LLM models, RAG, LangChain, and LlamaIndex - Ability to design and develop scalable and robust AI-driven applications - Excellent problem-solving, debugging, and analytical skills with great attention to detail - Experience with microservices and cloud-based architectures/design patterns - Demonstrated proficiency in English at the C1 level - Extensive experience in Python and Java - Proficient with NLP libraries and tools (spaCy, NLTK, Hugging Face Transformers) - Skilled in model deployment frameworks (TensorFlow Serving, MLflow, Kubernetes-based deployments) - Hands-on experience with ETL processes, data pipelines, and data warehousing solutions - Expertise with top-tier datastores (MongoDB, AWS DocumentDB, SQL Server, MySQL) - Proficient in Linux - Experience with Apache Tomcat, Nginx, AWS, Docker, and Kubernetes - Familiarity with CI/CD pipelines and tools (Jenkins, GitLab CI, CircleCI) - Understanding of container orchestration tools and concepts - Knowledge of security best practices in cloud and distributed applications - Experience with infrastructure as code (IaC) tools (Terraform, CloudFormation) Requirements - Mentoring and helping others to grow as engineers and developers - Excellent written and verbal communication skills - Ability to excel in a distributed, remote team environment - Self-drive to work on key initiatives - Take pleasure in making things happen and listen to the input from peers - Data-driven decision-making skills - Embracing a best-idea-wins approach, regardless of the source - Collaboration with cross-functional teams to define, design, and ship new features - Staying current with emerging trends and technologies in AI and cloud computing Benefits - Work for a growing leader within the Integration Platform as a Service (iPaaS) tech space - Join a mission-driven company that is transforming the industry by changing the way customers use API creation within business-critical processes - Career development and mentorship - A flexible, remote-friendly company with personality and heart