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

Role Description AI/ML Engineers at Mayo Clinic play a pivotal role in the union of data, systems, and computer sciences. They work closely with a multidisciplinary team, including clinicians, user experience designers, product managers, IT professionals, and external partners, to develop and deploy effective, efficient, and ethical AI/ML solutions into clinical practice to enhance patient care and operational efficiency. As a Principal AI/ML Engineer, you will lead the full spectrum of the AI life cycle from ideation to production. You understand the clinical environment well, including workflows, challenges, and requirements of healthcare providers and patients. You will leverage advanced techniques in AI/ML to analyze vast amounts of healthcare data, including patient records, medical imaging, and genomic information, to develop AI solutions that meet clinical needs and are integrated smoothly into clinical processes. This includes guiding the design and evaluation of foundation models, vision encoders, multimodal architectures, representation learning approaches, and data fusion strategies that enable robust clinical AI applications. Your expertise will also extend to facilitating consistent and automated AI software solution development and releases through the design, testing, and maintenance of tools and associated CI/CD pipelines. - Providing strategic direction and technical leadership for AI Engineering initiatives. - Working with leadership team to define the AI roadmap and prioritize projects aligned with organizational objectives. - Leading component design, development, integration, and standardization to create AI-driven solutions that seamlessly integrate into clinical practice to enhance patient care and clinic operations. - Leading the collaboration with multidisciplinary teams to understand user needs, workflows, and clinical requirements and assess feasibility. - Leading the interpretation of data analysis to guide strategic choices and clarify complex insights for non-technical users. - Leading consultative services to clinical work units or AI product teams, offering insights and strategies to address complex business problems. - Leveraging machine learning techniques to lead the design, development, and deployment of end-to-end AI solutions for healthcare applications. - Establish rigorous evaluation methodologies and performance metrics to assess the effectiveness, usability, and impact of AI solutions in real-world healthcare settings. - Ensuring compliance with ethical guidelines, regulatory requirements, and data privacy standards in the development and deployment of AI solutions. - Overseeing the engineering of systems crucial for developing and deploying AI solutions. - Facilitating consistent and automated AI software solution development and releases through the design, testing, and maintenance of tools and associated CI/CD pipelines. - Defining and implementing best practices and standards for AI development and deployment methodologies, tools, and platforms. - Providing mentorship, guidance, and technical leadership to junior engineers within the AI enablement team. - Fostering a culture of collaboration, innovation, and knowledge sharing across the organization. - Supporting talent development initiatives, including training programs, technical workshops, and skill-building activities. - Contributing to the development of new AI methods and technologies that can advance the state-of-the-art in healthcare AI. - Publishing and presenting the results of AI development and translation in peer-reviewed journals and conferences. Qualifications - Deep technical judgment in understanding how AI models learn and perform across diverse clinical modalities. - Ability to communicate complex findings in easily understandable terms to non-technical users. Requirements - This is a full-time remote position within the United States. - Mayo Clinic will not sponsor or transfer visas for this position including F1 OPT STEM. Benefits - Medical: Multiple plan options. - Dental: Delta Dental or reimbursement account for flexible coverage. - Vision: Affordable plan with national network. - Pre-Tax Savings: HSA and FSAs for eligible expenses. - Retirement: Competitive retirement package to secure your future.

Role Description AI/ML Engineers at Mayo Clinic play a pivotal role in the union of data, systems, and computer sciences. They work closely with a multidisciplinary team, including clinicians, user experience designers, product managers, IT professionals, and external partners, to develop and deploy effective, efficient, and ethical AI/ML solutions into clinical practice to enhance patient care and operational efficiency. As a Senior Principal AI/ML Engineer, you will lead the full spectrum of the AI life cycle from ideation to production. You understand the clinical environment well, including workflows, challenges, and requirements of healthcare providers and patients. You will leverage advanced techniques in AI/ML to analyze vast amounts of healthcare data, including: - Patient records - Medical imaging - Genomic information - Other multimodal data sources This includes guiding the design and evaluation of: - Foundation models - Vision encoders - Multimodal architectures - Representation learning approaches - Data fusion strategies You will develop, integrate, and standardize software components and create, maintain, and follow quality system procedures. You will guide the engineering of systems that are pivotal to developing and deploying these solutions and provide technical leadership on model architecture decisions, including: - Multimodal learning approaches - Model adaptation strategies - Evaluation methodologies - Interpretability techniques - Performance optimization for clinical AI systems This will encompass everything from design requirements, development, component creation, verification, non-clinical validation, and risk mitigation to ensure our digital health technology products meet and exceed regulatory requirements and set new benchmarks for safety and effectiveness in clinical settings. Your expertise will also extend to facilitating consistent and automated AI software solution development and releases through the design, testing, and maintenance of tools and associated CI/CD pipelines. This role is instrumental in leading consultative services to departments and divisions, offering insights into complex business problems. The role requires deep technical judgment in understanding how AI models learn, represent information, and perform across diverse clinical modalities, enabling informed decisions regarding: - Model design - Explainability - Reliability - Clinical suitability Your ability to communicate complex findings in easily understandable terms to non-technical users will bridge the gap between sophisticated AI technologies and clinical applications. Senior Principal AI/ML Engineers are recognized as top technical authorities in the field of AI/ML and play a critical role in driving innovation and shaping the strategic direction of AI/ML initiatives at Mayo Clinic. Qualifications - Deep technical expertise in AI/ML technologies and methodologies. - Strong understanding of clinical workflows and healthcare data. - Proven ability to lead multidisciplinary teams. - Excellent communication skills for conveying complex information to non-technical users. Requirements - Providing strategic direction and technical leadership for AI Engineering initiatives. - Working with leadership team to define the AI roadmap and prioritize projects aligned with organizational objectives. - Leading component design, development, integration, and standardization to create AI-driven solutions that seamlessly integrate into clinical practice. - Leading collaboration with multidisciplinary teams to understand user needs and assess feasibility. - Leading interpretation of data analysis to guide strategic choices. - Leading consultative services to clinical work units or AI product teams. - Leveraging machine learning techniques such as deep learning, natural language processing, and computer vision. - Establishing rigorous evaluation methodologies and performance metrics. - Ensuring compliance with ethical guidelines, regulatory requirements, and data privacy standards. - Overseeing the engineering of systems crucial for developing and deploying AI solutions. - Facilitating consistent and automated AI software solution development and releases. - Defining and implementing best practices and standards for AI development. - Providing mentorship and technical leadership to junior engineers. - Fostering a culture of collaboration, innovation, and knowledge sharing. - Supporting talent development initiatives. - Contributing to the development of new AI methods and technologies. - Publishing and presenting results of AI development in peer-reviewed journals and conferences. Benefits - Medical: Multiple plan options. - Dental: Delta Dental or reimbursement account for flexible coverage. - Vision: Affordable plan with national network. - Pre-Tax Savings: HSA and FSAs for eligible expenses. - Retirement: Competitive retirement package to secure your future. Company Description Mayo Clinic is top-ranked in more specialties than any other care provider according to U.S. News & World Report. As we work together to put the needs of the patient first, we are also dedicated to our employees, investing in competitive compensation and comprehensive benefit plans to take care of you and your family, now and in the future. With continuing education and advancement opportunities at every turn, you can build a long, successful career with Mayo Clinic.

• End-to-end feature development for AI-powered analytics on rich datasets, from architecture to production. • Mentor teammates and partner with Product, Data Science, and Design to deliver reliable conversational flows. • Design secure, low-latency data retrieval and AI integration pipelines (function calling, agentic workflows, etc…) for internal datasets and APIs. • Build and scale integrations to data sources - defining schemas, queries, and caching strategies; continuously improve backend components to deliver a top‑notch user experience with efficient resource trade‑offs. • Establish quality guardrails, automated tests/evaluations, and observability; optimize for scalability, performance, and cost; run A/B tests. • Optimize context engineering and data retrieval strategies - balancing relevance, latency, and token efficiency to deliver accurate AI-powered insights.