Role Description Our client is seeking a AI Backend Engineer to build and operate the backend infrastructure that powers AI-driven experiences across its products. The role focuses on owning the inference and orchestration layer that sits between AI models and end users, ensuring every interaction is fast, reliable, scalable, and cost-efficient. Working closely with engineering and AI teams, this position will play a key role in designing production-grade backend services, optimizing system performance, and delivering robust AI-powered features across mobile and desktop platforms. Key Responsibilities - Build, maintain, and operate backend systems that power AI-enabled features in production. - Design and implement AI inference pipelines, orchestration layers, and service architectures around AI models. - Develop scalable, high-performance APIs that integrate seamlessly with frontend applications and machine learning systems. - Optimize system performance by improving inference latency, throughput, caching, batching, and streaming capabilities. - Own production operations, including monitoring, logging, alerting, and incident response. - Troubleshoot and resolve issues within distributed systems to ensure service reliability and stability. - Continuously improve backend architecture and production systems based on operational insights and real-world usage. - Collaborate with cross-functional teams to deliver reliable, scalable, and high-quality AI-powered solutions. Qualifications - Strong backend engineering experience in production environments. - Proven experience building and operating high-throughput, low-latency backend services. - Experience designing scalable APIs and distributed systems. - Familiarity with AI inference patterns, including Large Language Models (LLMs), embeddings, and multimodal AI systems. - Strong debugging and troubleshooting skills within distributed production environments. - Demonstrated ability to deliver production-ready solutions while iterating based on real-world system performance. - Excellent analytical, problem-solving, and collaboration skills. Technical Skills - Experience with Python. - Experience with Node.js. - Experience with PyTorch. - Experience with OpenAI, Anthropic, or open-source Large Language Models (LLMs). - Experience with SQL and NoSQL databases. - Experience with Kubernetes. - Experience with Docker.

Role Description We are seeking a highly skilled professional to integrate into our expanding team and assume a critical role in advancing the Robotic Process Automation (RPA) footprint within the Dedicated Transportation Sector. This position carries responsibility for the comprehensive, end-to-end lifecycle of RPA solutions, encompassing the development, rigorous testing, deployment, and sustained maintenance of automated processes in strict adherence to our Automation Center of Excellence standards. The ideal candidate will leverage advanced proficiency in UiPath and MS SQL to meticulously analyze complex workflows and deliver robust, scalable solutions. This role mandates close collaboration with the dedicated RPA team and requires the capacity to meticulously evaluate diverse business processes, as well as occasional flexibility to provide after-hours support for critical system requirements. Qualifications - A minimum of 5 years of pertinent Information Technology experience, with a background in software engineering highly preferred. - 4+ years of dedicated, hands-on RPA development experience, including process automation, UI automation, data manipulation, and exception handling protocols. - Advanced proficiency in UiPath Automation Studio, including mastery of selectors, debugging, state machines, and the REFramework. - Deep understanding of UiPath Orchestrator, including managing multi-bot environments, Modern Folders, and credential management. - Intermediate knowledge of MS SQL or other Relational Databases, along with an intermediate comprehension of SQL principles. - Familiarity with C#/.Net, VB, Java, or any core programming language related to UiPath Development. - Demonstrated experience operating within an Agile development framework, including familiarity with sprint methodologies. - Proven capability in creating and maintaining detailed technical design documentation for automation processes and system integrations. - Familiarity with the Kofax Automation tool. Requirements - Design, develop, test, and deploy resilient RPA solutions utilizing UiPath, ensuring strict conformance with enterprise Automation COE standards. - Spearhead the expansion of the RPA footprint through the creation of new automated processes and the strategic enhancement of existing automations. - Design, develop, and test complex automation workflows using UiPath Studio, utilizing the Robotic Enterprise Framework (REFramework) to ensure exception handling, logging, and recoverability. - Manage and configure UiPath Orchestrator resources, including Queues, Assets, Triggers, and Environments, ensuring proper load balancing and license utilization. - Extend UiPath capabilities by writing custom code (C# or VB.NET) and integrating with third-party applications via REST/SOAP APIs and database connections. - Generate and diligently maintain comprehensive technical design documentation for all assigned automation projects. - Engage collaboratively with cross-functional teams to deliver automated solutions within a disciplined Agile environment. - Provide occasional after-hours support to address critical system requirements and ensure operational continuity. Benefits - Join a powerful tech workforce and help us change the world through technology. - Professional development opportunities with international customers. - Collaborative work environment. - Career path and mentorship programs that will lead to new levels.

Role Description - Strong Python back-end engineering experience (FastAPI) - Solid experience designing and consuming REST APIs, including integration with other services/platforms - Experience working with complex, data-driven applications (analytics, simulators, optimization / decision-support systems) - Ability to work confidently with an existing codebase: understand it, extend it, stabilize it - Comfortable collaborating with Data Science teams and translating modelling / optimization logic into backend services - Familiarity with cloud-based (AWS) production environments with an understanding of how backend services are deployed and operated in production - Experience with standard engineering best practices (error handling, logging, performance awareness) - Basic DevOps awareness (working with existing CI/CD pipelines, deployment processes, and production diagnostics - no infrastructure ownership expected) Qualifications - Exposure to Dataiku DSS or similar DS execution platforms (navigation and understanding is sufficient; not expected to rebuild pipelines) - Pharma or commercial analytics context

Role Description - Thorough understanding of ReactJS and its core principles. - Strong experience in TypeScript, JavaScript, HTML, CSS, Bootstrap. - Experience with popular React.js workflows (such as Flux or Redux). - Familiarity with newer specifications of ECMAScript. - Experience with data structure libraries (e.g., Immutable.js). - Knowledge of isomorphic React is a plus. - Knowledge of Dot Net Technologies like C#. - Familiarity with RESTful APIs, Graph QL. - Knowledge of modern authorization mechanisms, such as JSON Web Token. - Experience with SPA (single page app) implementation, responsive web design implementation, micro services and API based flexible backend construction. - Experience building any of these features: - Personalization - Complex user management and security requirements - Secure document management (upload, download, permissioning) - Online collaboration tools - Alerts, notifications - Chatbot / live chat / video chat integration Company Description